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The Scale-up Playbook: Tech, Talent and the Compliance Tax

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Scaling a startup in Australia isn’t just about team growth it’s about moving from that scrappy get it done survival mode to building something that won’t fall over like Jenga as more starts to pile on. It’s a series of bets on your tech, your people, and leadership.

The Tech Stack: Can You Actually Hire People?

The development language you pick on day one will either be your best friend or your worst nightmare when developing your product or trying to scale it. It’s not just about what works, or what you know but as well what the Aussie talent market has available and the associated costs.

  • The Niche Trap: Picking something like Ruby on Rails, Svelte, or Golang can be a double-edged sword. They’re great for speed, but the local talent pool is tiny and incredibly expensive in comparison to languages like Node.
  • The Reality Check: if you can’t sustain growth needs due to skill and associated costs, to maintain your codebase in two years, you’ve basically coded yourself into a corner. Sometimes basic tech is better for business.

The Compliance Tax

Founders love to treat compliance like a future problem, but in Australia, that debt is getting expensive. Increased security threats and the tightening of privacy regulations within industries (Fintech, MedTech, Social Media etc.) requires it to be forefront of mind, not an afterthought.

  • The Privacy Crackdown: With recent shifts in the Privacy Act, ignoring data security is a massive risk. If you’re handling data or using AI, you’ve got to be transparent about it now.
  • Fix it Early: Trying to retro-fit security and privacy into a messy, high-growth system later is ten times harder (and pricier) than just doing it right from the get go.

Generalists vs. Specialists: Knowing When to Pivot

Your hiring strategy has to change as the product matures and the team and company transition into a full-fledged scale-up. This includes balancing responsibilities and having dedicated teams to handle tasks to enable efficiency and strategic planning.

  • The “Jack of all trades” Phase: Early on, you need generalists, people who can fix a pixel, provision a server, and deploy all in the same afternoon. They love the chaos and can wrangle it under control.
  • The Specialist Phase: Eventually, those generalists become a bottleneck. To keep the lights on and the platform stable; you’ll need heavy hitters in Cybersecurity or Data Engineering to keep the company compliant and increase the capabilities across marketing.
  • The Balance: Hire specialists too early, and you burn all your cash. Keep only generalists too long, and you end up with underperforming technology that nobody can untangle.

Leadership: Letting Go of the Reins

At some point, the all in one CEO/CTO/CFO/Chief of Staff model just breaks. You become the bottleneck for every single decision. The trick is timing. Hire too early, and you’re drowning in meetings and bureaucracy. Hire too late, and the wheels fall off because the chain of communication goes unrespected.

  • Building the C-Suite: Bringing in a CTO or COO isn’t just about delegating; it’s about bringing in experts who can handle the stuff you’re probably not great at like complex financial planning or recruitment.
  • The Middle Management Gap: The hardest part is the middle. You need managers who can translate your vision into daily work without you being in every single Slack channel. Hire them too late, and everyone burns out.

The Culture Shift: Making it Repeatable

This is usually the most painful part because it feels like you’re losing the soul of the startup.

  • Writing it Down: When you’re 5 people, culture is just the vibe. When you’re 50, it must be written down. It moves from tribal knowledge to actual documented values which must be reinforced.
  • No More Heroes: You have to move away from “individual heroics” (one person staying up all night to save the day) to team-based execution.
  • Change: Your early employees might hate the new structure, while new hires will feel lost without it. You’ve got to realize that culture isn’t a feel anymore, you must design it as your internal product bringing value to your employees.

 

Overall scaling successfully in Australia comes down to deliberate trade-offs early, choosing practical technologies, focusing on security and compliance and evolving the teams and structure as requirements change. If you get these right you can build companies resilient enough to last the tests of time.

If you are looking for any tailored advice to your situations reach out to a member of the team at Kapital Consulting.

 

Michael Reid – Recruitment Consultant – Software, Data & AI – LinkedIn

Kapital Consulting is a niche Finance Technology Recruitment Business specialising in Technology, Project Services and Data Recruitment across Australia. For more information connect with us on www.kapitalconsulting.com.au and follow us on www.linkedin.com/company/kapital-consulting

 

 

 

Setting Up for Success: The Art of Onboarding New Starters

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A great onboarding experience doesn’t start on day one. It starts before the laptop arrives, the logins are created, or the welcome coffee is booked.

Where the environment is fast-paced, the systems are complex and the people are time-poor, onboarding can often be treated as a tick-the-box exercise. But when done well, it’s one of the most powerful retention tools you have.

At Kapital, we’ve placed hundreds of professionals into BFSI firms across Australia. One thing we hear again and again? The onboarding experience sets the tone for everything that follows.

Here’s how to make sure your next hire feels confident, connected and ready to hit the ground running.

  1. Prep Before Day One

Don’t wait until their start date to get things moving. A week before, send a warm welcome note with:

  • What to expect on Day One (arrival time, location, dress code, who to ask for)
  • Hardware delivery or desk setup (laptop, access cards, phone if required)
  • Team structure or an org chart (so they can learn names/faces early)
  • Any onboarding decks or business overviews (especially helpful in regulated or technical roles)
  • A personal note from their hiring manager or a team member
  • A welcome message or video call from the CEO or COO if possible (it makes a huge difference when new joiners hear from senior leadership early)
  • Working with a recruiter? We’ll get this information from you prior to them starting, but it’s always a nice touch point to also receive a “looking forward to you joining”

If the exec team has a packed calendar, consider setting aside a designated monthly (or bi monthly) onboarding day – a short, focused session where all new joiners can meet senior leaders, hear about the company journey and ask questions.

 

  1. Get the Basics Right

Few things frustrate new starters more than showing up and… nothing works.

Make sure this is sorted before they arrive:

  • Laptop, email, Slack/Teams, Zoom access
  • Security passes or remote access tokens
  • Introductions booked with key stakeholders
  • A clean desk if they’re coming onsite – with the right monitor/tech setup
  • A plan for their first week (a light one is better than none at all)

 

  1. Design a Proper First Week

A structured onboarding plan helps new hires absorb information at the right pace. Mix formal induction with informal intros:

  • Day 1: Set expectations. Who do they report to? How often will you check in?
  • Day 2-3: Meet with key cross-functional teams (don’t overload them, just prioritise the essentials).
  • Day 4-5: Let them shadow meetings, review processes or explore systems. Give them a soft landing.

Even if they’re senior, don’t assume they’ll just “figure it out.” Internal culture, systems and expectations differ across every organisation.

 

  1. Don’t Kill the Pace You Hired Them For

One of the biggest red flags we hear from new hires?

“I was brought in to bring energy, change and new ideas – then told to slow down.”

If you’ve hired someone to drive transformation or inject momentum, don’t stifle that energy on week one. If a manager’s first instinct is to say “that’s not how we work here” or “slow down”, that’s not feedback on the new hire – it’s a reflection of how the business has been operating.

Set the tone early: encourage contribution, curiosity and proactivity. New voices often see the clearest gaps. That’s what you hired them for.

 

  1. Make Them Feel Connected Early

People remember how they felt in week one – not what systems they used.

Small things that go a long way:

  • A welcome post on Teams or Slack, LinkedIn
  • A buddy system
  • Invitations to informal catch-ups or team stand-ups
  • Add them to key email groups or channels so they’re in the loop

 

  1. Remember Global Teams and Remote Joiners

If you’re hiring someone remotely or from a different region, don’t leave them out of the culture-building.

  • Use video by default in week one – it builds rapport
  • Schedule team-wide Zoom/Teams calls for intros and Q&A
  • Send them a physical welcome kit if possible
  • Pair them with someone local to help with time zone navigation and internal networks

First impressions matter even more when you’re onboarding remotely.

 

  1. Set the Foundations for Retention

This isn’t just about onboarding. It’s about integration.

The number one reason we hear people leave roles early? “It just didn’t feel like the right fit.” That’s rarely about the job itself. It’s about how they were supported (or not) in the early days.

Check in after one week, one month and then regularly. Ask for honest feedback. Flag any road blocks early. The first 30-90 days are where you gain, or lose engagement. 

You’ve invested time and money to hire the right person. Don’t let poor onboarding unravel that.

Thoughtful onboarding protects your investment, strengthens your culture and ensures new starters aren’t just “joining” – they’re contributing.

 

If you’d like a simple onboarding checklist to guide this process, let us know – we’re happy to share what’s working across the industry.

Because great onboarding isn’t just good for the candidate. It’s great for the business.

 

Shannon Stobbs – Manager – LinkedIn

Kapital Consulting is a niche Finance Technology Recruitment Business specialising in Technology, Project Services and Data Recruitment across Australia. For more information connect with us on www.kapitalconsulting.com.au and follow us on www.linkedin.com/company/kapital-consulting

The Role of Emotional Intelligence in Leadership: Why It’s Essential During Restructures, Cuts and Change

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In the world of BFSI, many senior leaders are stepping into roles not to maintain, but to change. Whether it’s driving transformation, delivering cost efficiencies or restructuring entire functions, the message from the top is clear: fix it.

But org restructures or technology uplifts one thing often gets lost: the people.

If you’re making changes that affect teams – cuts, realignment or absorbing functions, emotional intelligence (EQ) isn’t a nice-to-have. It’s a must.


You’re Not Just Moving Boxes on an Org Chart

Leadership during a restructure is not just about timelines and handovers. You’re dealing with individuals, often in close-knit teams, who are losing colleagues, role clarity and in some cases, their sense of safety at work.

They’re watching closely. They notice how it’s communicated. They notice how their colleagues are treated on the way out. They remember who was transparent and who disappeared when things got uncomfortable.

Restructures done without emotional intelligence don’t just impact the people leaving. They drain the energy and are the decision of people staying.

 

What Emotional Intelligence Looks Like During Change

EQ in leadership isn’t about being soft. It’s about being self-aware, emotionally attuned and communicating with intent. In periods of uncertainty and change, it’s what separates a respected leader from one who’s barely tolerated.

Here’s how it plays out in practice:

  • Anticipating team reactions before a restructure is announced, rather than reacting to the fallout
  • Acknowledging the human impact of decisions, not just the commercial logic
  • Having direct conversations with those affected, even when it’s hard
  • Clearly explaining the ‘why’ behind decisions, so the team doesn’t have to fill the gaps with assumptions
  • Following up with the team after changes land, to rebuild trust and refocus direction

These aren’t fluffy leadership hacks. These are foundational moves that protect morale, prevent passive attrition, maintain momentum and build trust.

 

Don’t Forget the Global Teams

Restructures often involve globally distributed teams – Singapore, London, New York etc. Yet too often, those outside HQ are left out of the loop or are the last to know about changes.

If you’re making structural or leadership changes, you need to lead globally, not just locally.

Best practice includes:

  • Running full team calls (Zoom/Teams) to align on changes and future direction, with time for Q&A, even the tough stuff
  • Rotating call times to avoid excluding one region from every key update
  • Following up in writing with clear takeaways for all regions, especially when time zones prevent full attendance
  • Making regional managers part of the change narrative, not just the delivery chain

You can’t retain what you don’t include. And right now, global capability is a competitive advantage, don’t lose it to poor communication.


Retention is Your Hidden KPI

You can restructure. You can reset. You can deliver change. But if your high performers quietly exit in the six months that follow, you haven’t succeeded, you’ve just shifted the problem.

  • Retention isn’t just about salary. It’s about belief
  • Belief in the direction
  • Belief in the leadership
  • Belief that people matter – even when change is hard

The best leaders keep people aligned not just through logic, but through trust. Emotional intelligence is how that trust is built and how it survives structural change.


Lead the Change, Don’t Just Execute It

You might be in the role to make hard decisions. But how you deliver those decisions is what defines you as a leader.

  • You can restructure and still retain.
  • You can deliver tough news and still build trust.
  • You can lead with accountability and empathy.

You were hired to get a job done. Maybe that job involves cuts, stepping into a team that’s burnt out, or resistant to change. Maybe it means resetting expectations after years of overwork, under-delivery or “just surviving”.

But you won’t do it alone.

If you want your role to succeed, your people need to feel safe, supported and heard.

You can be commercially sharp and emotionally intelligent.

Because you’re not just fixing processes.

You’re rebuilding trust.

Shannon Stobbs – Manager – LinkedIn

Kapital Consulting is a niche Finance Technology Recruitment Business specialising in Technology, Project Services and Data Recruitment across Australia. For more information connect with us on www.kapitalconsulting.com.au and follow us on www.linkedin.com/company/kapital-consulting

The Rise of the Strategic CTDO in Insurance: AI, Talent and Transformation

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In the evolving landscape of insurance, one role is quietly but powerfully reshaping the industry’s future: the Chief Technology & Data Officer (CTDO). The CTO was once viewed as a functional leader focused on infrastructure and systems, today’s CTDO is emerging as a strategic force driving technology, data and AI innovation, modernising legacy platforms and building the talent engines that will define tomorrow’s insurance leaders.

From Operational Oversight to Strategic Orchestration

Historically, the CTO’s remit was rooted in IT governance, business-as-usual operations and technological risk mitigation. The data function, often siloed, was tasked with reporting and compliance of data flows and customer data. As insurers grapple with digital disruption, rising customer expectations around speed, accuracy and the transformative power of GenAI, the convergence of technology and data leadership has become mission critical. We have already seen the emergence of the CTDO (Chief Technology and Data Officer) in our Superannuation, Investment Management and Funds Management clients.

The modern CTDO is now expected to:

  • Architect AI-driven transformation across claims, underwriting, fraud detection and customer service.
  • Modernise legacy systems to enable agility, scalability and real-time decision-making.
  • Balance innovation with governance, ensuring ethical AI deployment in a highly regulated environment.
  • Lead talent strategy, building high-performing teams that blend engineering, analytics and business acumen.
This is not a theoretical evolution, we have heard first hand how this is playing out in boardrooms, seen in our clients hiring strategies and transformation roadmaps across the insurance sector.
 

GenAI: The Catalyst for Change

Artificial intelligence is no longer a future consideration, it’s imperative. GenAI, in particular, is redefining what’s possible in insurance operations:
  • Claims Acceleration: AI-powered platforms like Guidewire are being reimagined to process claims faster, flag anomalies and reduce manual intervention.
  • Fraud Detection: Machine learning models are identifying patterns and outliers with unprecedented accuracy, protecting both insurers and customers.
  • Policy Optimisation: “GenAI is reducing our policy setup times and increasing opening rates by up to 35% a huge turning point in our customer onboarding experience”.
But with great power comes great responsibility. CTDOs must navigate the delicate balance between experimental speed and ethical compliance. This requires not just technical fluency, but strategic foresight and stakeholder alignment.
The Talent Imperative: Building the Future Bench
Technology alone doesn’t transform businesses, the people do and the race for top-tier data and technology talent is intensifying across the entire financial services industry not just insurance.
We have seen firsthand how insurers are rethinking their hiring strategies to attract the next generation of CTDOs, data engineers and AI specialists.

The key question for GMs and hiring managers is clear: How do we attract, retain and grow the talent needed to modernise legacy systems and build scalable, future-ready platforms?

The answer lies in three strategic pillars:
1. Vision-Led Leadership
Top talent is drawn to bold missions and interesting initiatives. Organisations must articulate a clear transformation agenda, one that positions technology and data as strategic levers, not simply support functions. This can include exec sponsorship of AI initiatives, transparent modernisation roadmaps and continuous learning.
2. Collaboration
Strategic CTDOs build bridges across engineering, analytics, product and compliance driving collaboration rather than silos. They invest in internal capability, empower teams through agile operating models and create clear pathways for leadership development.
3. Strategic Recruitment Partnerships
In a competitive talent market, insurers must go beyond reactive hiring. Strategic partnerships with specialist recruitment firms, those who understand the nuances of insurance, technology and transformation, can unlock access to passive talent, salary benchmarks, market positioning and accelerate time-to-hire.

Looking Ahead: The Insurance Enterprise of Tomorrow

The insurers that thrive in the next decade will be those that treat technology and data not as cost centres but as growth engines. The CTDO will be at the heart of this transformation, orchestrating change across people, platforms and processes.
For boards, GMs and transformation leaders, the mandate is clear:
  • Elevate the CTDO role to a strategic function
  • Invest in AI capability and ethical governance
  • Build talent pipelines that reflect the future of insurance
Kapital has been partnering with insurers on this journey placing transformative leaders, designing future-ready operating models and helping organisations unlock the full potential of technology and data.
The rise of the strategic CTDO is not just a trend. It’s a turning point.
If you’re navigating this transformation or looking to build a future-ready tech and data leadership team, let’s connect.

Sean Turner – Founder – LinkedIn

Kapital Consulting is a niche Finance Technology Recruitment Business specialising in Technology, Project Services and Data Recruitment across Australia. For more information connect with us on www.kapitalconsulting.com.au and follow us on www.linkedin.com/company/kapital-consulting

 

What the First Half of the Year Tells Us: 2025 Tech Hiring in BFSI

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The hiring landscape across technology, data and cyber in BFSI has shifted again. Hiring is more deliberate, more strategic and more company-driven than ever before.

While salaries have largely held steady this first half, the expectations placed on both sides of the hiring equation have intensified. Employers want broader skillsets, proven impact and the right “fit” for the business. Candidates want quicker decisions and a transparent view of what they’re signing up for.

Let’s unpack what’s happening:

Salaries Are Holding… But the Ask Is Rising

Across cloud, cyber, software engineering and project delivery, salaries remain relatively stable – but that doesn’t mean the bar hasn’t been raised.

Roles like:

Azure Platform Engineers: $170k – $200k base

Project Managers (Data & Integration): $170k – $190k base

Cyber Security Engineers (IAM / PAM / Cloud Security): $160k – $190k base

Software Engineering Manager (Java): $210k – $230k base

Data Engineer (Quant): $200k + base

Clients are asking for more: not just someone who can code or configure, but professionals who can lead change, manage risk and translate technical outcomes into business wins, along with the right personality and fit for the business. Showing you’re empathetic, a leader in what you do and your personality in interviews, is more important than ever.

Speed Is the New Differentiator

The biggest complaint from candidates in the first half of 2025? Lagging processes.

We’ve seen top-tier technology talent pull out of processes after 2 – 3 rounds – especially when final interviews drag on with no clear follow-up. One candidate we placed recently had four offers on the table within 10 days. The client who moved fast and was the most transparent got the hire. The others? Ghosted.

This is becoming a theme for candidates applying directly to companies, we’ve heard of multiple cases where these solid candidates have had a couple interviews, then received no update, no communication or anything, ghosted by the company (and these are top tier BFSI firms!).

If you’re keen, move. Waiting a week after a final interview is no longer the norm – it’s a dealbreaker.

EVP: Not Just for Grad Programs Anymore

Once a buzzword for campus brochures, Employee Value Proposition (EVP) is now front and centre for technology professionals in BFSI. They want to know:

  • What’s the mission?
  • What problems are we solving?
  • Who will I work with and learn from?
  • Will I be adding to legacy tech… or helping uplift and retire it?

Companies with a clear purpose, modern stacks and strong leadership are winning top talent – even when they don’t offer the highest salary, because of the clear direction and drive candidates can see from interviewers.

Roles Are Sharpening across BFSI

Hiring has slowed slightly in core infra functions especially BAU support, but has risen in high-impact areas:

  • Cloud platform uplift (Azure, GCP, hybrid multi-cloud)
  • Zero Trust architecture implementations
  • Cloud-native and container security
  • Data Warehousing implementations (SnowFlake)
  • Finance Uplifts (GL, AR, AP etc)
  • Real-time monitoring and observability tools (e.g. Datadog, Prometheus)
  • M&A activity

Cyber roles, especially in IAM, PAM and regulatory-aligned security uplift, are in demand as APRA’s CPS230 deadline looms. Delivery talent with experience implementing these controls will be increasing in H2.

Also companies are wanting the mix of technical and business knowledge for roles in Finance uplifts, being able to extract and implement as well as work with the Finance team to improve and automate processes.

 

Data and Projects: More Governance, Less “Growth at All Costs”

While there’s no shortage of demand in data, the lens has shifted. Clients are now more focused on governance, lineage and architecture than dashboards and ML.

Project Services roles are also tightening. There’s been a pullback on generic PMs and BAs – but demand remains strong for:

  • Project professionals with experience in separation, integration or regulatory uplift
  • Project professionals who are specialised in the industry and not generalists (Trading, Investment Banking, Funds/Investment within Front/Middle/Back office specific roles)
  • Those who can speak both agile and enterprise
  • Hybrid BA/PMs who can own delivery with minimal hand-holding, with technical capability

Michael – Software Engineering

While it might seem that layoffs could create a surplus of talent across the Software Engineering market, we are in the quiet period prior to the new financial year when new projects are on hold, pending budget approvals and strategic planning for the upcoming financial year.

Many companies are doubling down on innovation to recover from economic downturns. This focus often leads to new projects and initiatives that require skilled software engineers across niche areas within financial services who understand the ins and outs of the industry, to innovate and adapt to the current market and emerging trends and technologies.

This overall creates a Demand for Specialized Skills such as AI, machine learning, Automation and cybersecurity. The integration of AI and ML into software engineering is only going to accelerate as there’s a continued interest across Engineers desire to keep up to date with emerging technologies, with a large portion of candidates expressing not only interest in the matter but side project and personal development/learning on the subject.

However, what are the challenges and considerations for Financial Services Organizations to undertake before leaning too heavily towards AI?

  • The regulatory landscape around AI in finance can create uncertainty, as institutions must remain compliant while innovating.
  • Dependence on AI systems can create vulnerabilities; if these systems fail or produce errors, it can disrupt financial operations and lead to significant losses.
  • Poor quality or inaccurate data can lead to flawed AI models, resulting in incorrect predictions and decisions.
  • AI systems can amplify biases present in the training data

 

Amaleen – Project Services

The first half of 2025 has been a challenging but strategically important period for project services within the financial services sector. While budgets remain tight and many large-scale transformation programs have been scaled back or deferred, organisations have continued to invest in targeted initiatives aimed at making their operations more efficient, scalable and resilient. This includes the implementation of core systems, cloud-based data platforms and enterprise data warehouses all designed to streamline processes, reduce long-term cost and prepare for regulatory and AI-led change.

Much of the project activity has been driven by regulatory pressure, particularly around APRA’s CPS 230, alongside ongoing mergers, divestments and business model realignment across banking, superannuation and insurance. These forces have created strong demand for specialist Business Analysts and Project Managers with experience in regulatory compliance, niche systems, vendor management, and data governance.

At the same time, there’s been a clear shift away from hiring generalists, with companies prioritising domain-specific expertise and a proven ability to deliver outcomes in complex, highly regulated environments. While AI is a growing focus, most projects remain in foundational stages, with a heavy emphasis on data quality, lineage and governance. In this environment, professionals who can demonstrate specialisation, adaptability and strong business alignment have remained in high demand.

 

Shannon – Executive Search

The first half of 2025 in the BFSI sector has seen a cautious but strategic demand for senior leadership talent, particularly Program Directors, Heads of PMO and Transformation Leads, on a contract and advisory basis. With major financial institutions focused on cost optimisation, regulatory uplift and tech stack simplification, many have opted for experienced leaders who can hit the ground running to stabilise delivery, reset governance or execute short-term remediation. While permanent hiring at the senior end has been subdued, there’s been consistent interest in outcome-based engagements, especially across banking, investment management, and insurance, where firms are navigating complex change with leaner teams. For senior professionals, short-term contracts and advisory gigs have become a pragmatic bridge in a market where executive roles are still rebalancing post restructuring cycles.

Looking ahead to the second half of 2025, we anticipate a wave of large-scale investment system transformation programs gaining momentum, particularly across investment managers, superannuation funds and custodians. Programs involving platforms like Charles River, BlackRock Aladdin and SimCorp Dimension are expected to move from planning to execution, creating demand for Program Directors and Heads of Transformation with direct experience navigating vendor selection, data migration and integration into complex multi-asset environments. C-suite stakeholders are prioritising these initiatives as critical enablers for front-to-back alignment, improved risk transparency and scalable growth. As a result, leadership hires with proven success in delivering enterprise-wide investment platforms, especially across multi-manager or multi-entity structures, are increasingly viewed as key strategic appointments, even amidst tighter budgets and board-level scrutiny.

Alongside these system rollouts, data is becoming a central pillar of transformation across the BFSI sector. Organisations are moving from fragmented, reactive reporting toward integrated data strategies that support predictive insights, performance analytics and operational efficiency. There’s a strong push to build enterprise-wide data governance frameworks and embed data-as-a-service models that allow front office, risk and compliance functions to operate from a single source of truth. As such, senior leaders with a track record in aligning investment platforms with scalable, cloud-native data architecture will be increasing, not just for delivery, but to steer long-term data maturity and digital investment capability.


Shannon Stobbs – Manager – LinkedIn

Kapital Consulting is a niche Fintech Recruitment Business specialising in Technology, Project Services and Data Recruitment across Australia. For more information connect with us on www.kapitalconsulting.com.au and follow us on www.linkedin.com/company/kapital-consulting

 

How Regulatory Change is Shaping Project Delivery in Fintech

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Australia’s financial services sector is evolving rapidly; from the rise of AI-enabled portfolio tools, digital investor platforms to the growing demand for transparency and personalisation. Beneath this innovation, regulatory change is quietly but fundamentally reshaping how projects are planned and delivered.

For Business Analysts (BAs) and Project Managers (PMs), compliance is no longer just a final-stage checkbox. It is embedded in every sprint, every feature, and every system design. Whether you’re in payments, funds and investments, or capital markets understanding the regulatory landscape is essential to delivering projects.

The Expanding Web of Regulation

Regulatory oversight in Australia is tightening in response to increased digitalisation, complexity and consumer expectations. Key drivers shaping project delivery across financial services include:

  • Consumer Data Right (CDR) – expanding from banking to energy and open finance, impacting data consent, APIs, and privacy
  • ASIC’s Design and Distribution Obligations (DDO) – requiring firms to define target markets and monitor product performance
  • Breach Reporting Reforms (under RG 78) – mandating more timely and transparent reporting of compliance failures
  • Operational Risk Management (CPS 230) – APRA’s new cross-sector standard on operational resilience, applicable from July 2025
  • Greenwashing Crackdown – ASIC’s enforcement of accurate ESG claims in product disclosures and marketing
  • T+1 Settlement Reform – coming in 2026, requiring faster post-trade processes and operational readiness
  • ASIC’s INFO 225 and INFO 269 – guidance on digital advice and the responsible use of artificial intelligence in financial services
  • Data breach obligations under the Privacy Act and the Notifiable Data Breaches (NDB) scheme

These regulatory shifts are not just legal concerns, they influence how platforms are architected, how teams collaborate and how value is delivered.

Five Ways Regulation Is Reshaping Project Delivery

1. AI: Emerging Enabler and Risk

AI is increasingly being used across financial services as a project delivery professional, it’s essential to start building a working knowledge of how these technologies are applied. This is especially important as ASIC has signalled growing expectations around algorithmic transparency, bias management and appropriate use — particularly under licensee obligations (RG 255, RG 274).

In parallel, the Australian Government has proposed 10 guardrails to guide the safe and responsible use of AI. This includes principles such as fairness, privacy protection, accountability and contestability. These guardrails are becoming key reference points for how financial institutions design, deploy and govern AI tools.

BA Insight: This means clearly documenting how AI models operate, what data they rely on and how they align with responsible use standards.

PM Insight: This means allocating time for explainability, model validation and ethical review gates especially in consumer-facing features.

AI tools can assist but must be governed. Always validate AI-generated documentation or insights through legal and compliance SMEs to ensure alignment with both regulatory guidance and ethical expectations.

2. Cross-Functional Regulatory Design

Australia’s regulatory obligations are no longer confined to legal and compliance teams.  They now span across technology, product, UX, data, risk and operations which is why cross functional collaboration is so important. Regulatory change impacts not just what firms build, but how they build it and who needs to be involved.

Take ASIC’s Design and Distribution Obligations (DDO) as an example. DDO requires financial services firms to:

  • Clearly define a Target Market Determination (TMD) for each product
  • Track how customers are actually using the product versus how it was originally intended
  • Take action if the product is being misused or causing harm

This isn’t just a legal compliance issue; it affects how UX is designed, how product usage is tracked through analytics and how data is collected and shared across systems. In other words, it’s a cross-functional challenge.

BA Insight: Capture DDO, AML/CTF, or ESG requirements early in your functional specifications. Don’t treat these as afterthoughts or constraints, treat them as foundational inputs that should shape the product from the beginning.

PM Insight: Bring legal, compliance and risk teams into the delivery process early. Treat them as collaborative partners, not gatekeepers. Create structured touchpoints like joint backlog reviews and sprint checkpoints to help make proactive risk and compliance decisions.

3. Agile + Governance = The New Normal

While fintechs often favour agile for its speed and flexibility, Australian regulators increasingly expect traceable, testable and auditable outcomes. This has led to a rise in hybrid delivery models; agile at the team level, with governance at the program level.

Traditionally, governance was linked to Waterfall delivery, with formal stage gates and approvals at each phase. However, today’s governance focuses on ensuring compliance and traceability without needing to follow a rigid Waterfall structure. Agile teams can integrate regulatory checks into their iterative processes to meet these expectations while maintaining flexibility.

BA Insight: Maintain clear traceability between user stories and regulatory obligations. For example, link user consent stories to CDR and Privacy Act compliance.

PM Insight: Build “regulatory checkpoints” into sprints or milestones. For example, include mandatory legal sign-off before releasing updates that impact product terms, disclosures, or consent flows.

This hybrid approach combines the agility of iterative delivery with the rigor of governance, ensuring compliance without sacrificing speed.

4. Operational Resilience and Readiness (CPS 230)

CPS 230, effective July 2025, requires all APRA-regulated entities to strengthen their controls over critical operations, third-party vendors and incident response. The standard emphasises operational resilience, meaning financial firms must be prepared to continue operations even in the face of disruptions such as cyberattacks, system failures or vendor issues. This places new pressure on projects to build resilience from day one, rather than bolting it on later.

The regulation covers areas like disaster recovery, backup systems and maintaining service continuity for critical functions such as client funds, payments and trading. It also requires companies to assess and manage the risks posed by their third-party vendors, ensuring these external partners are held to the same resilience standards.

BA Insight: Document service criticality and third-party reliance early in your requirements, particularly for products that handle client funds, trading or payments. Ensure resilience requirements are clear and traceable in functional specifications.

PM Insight: Map out dependencies on cloud platforms, data providers or outsourced operations teams. Ensure business continuity and resilience are factored into the early phases of the project, including disaster recovery and incident response plans.

5. Increased Demand for Data Governance and Disclosure

Regulators are placing greater emphasis on data governance and disclosure, expecting real-time visibility and evidence-backed transparency into how firms operate and make decisions. This includes areas like ESG (Environmental, Social, and Governance) transparency, breach reporting and investor disclosures. Fintechs are no longer just required to prove that their products work; they must also demonstrate that these products are fair, responsible and meet their advertised promises.

This means fintechs must provide clear and verifiable evidence that their products align with regulatory expectations and operate in a way that doesn’t mislead or harm customers. This trend is driving increased demand for proper data governance and audit trails to ensure that all claims (especially those related to ESG) are substantiated and can be easily tracked.

BA Insight: Work closely with data and reporting teams to ensure traceability from input data to customer output. Ensure ESG claims are substantiated with verifiable metrics (ASIC’s Info Sheet 271 outlines expectations).

PM Insight: Plan for parallel build and assurance processes. This often means preparing audit evidence in advance of go-live, particularly for products that will be reviewed by APRA or ASIC. Ensure that all regulatory compliance checks are completed and signed off before launch to avoid post-launch issues.

The Expanding Role of Project delivery

In this new era, BAs and PMs are not just delivery professionals; they are risk navigators, regulatory translators and compliance advocates. Core capabilities now include:

  • Interpreting ASIC, APRA and OAIC guidance
  • Translating obligations into functional and non-functional requirements
  • Supporting change impact assessments across people, process, and tech
  • Preparing delivery artefacts for compliance reviews or audits
  • Bridging the knowledge gap between legal, product, data and tech

As innovation in technology finance, AI and consumer expectations accelerates, regulatory pressure in Australia is only intensifying. With the rise of standards like CPS 230, increased expectations around AI governance, ESG disclosures and real-time compliance, the old approach of bolting on regulatory checks at the end is no longer viable.

Today, regulatory design is becoming central to delivery. For Business Analysts and Project Managers, this means shifting from reactive compliance to strategic integration; embedding regulatory thinking into planning, execution and cross-functional collaboration.

Done well, compliance is no longer a blocker. It’s a blueprint for building trust, moving faster and scaling with resilience.

Amaleen Ibrahim – Consultant – LinkedIn

Kapital Consulting is a niche Fintech Recruitment Business specialising in Technology, Project Services and Data Recruitment across Australia. For more information connect with us on www.kapitalconsulting.com.au and follow us on www.linkedin.com/company/kapital-consulting

The Power of Employer Branding: Why Your Company Reputation Matters

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If your company had to attract top-tier talent tomorrow with zero recruitment budget, would your reputation be enough?

In today’s market, your brand as an employer carries just as much weight as your products, services or leadership team. And in many cases, it’s the deciding factor for whether great candidates choose you… or quietly opt out.

Let’s be real. Even the best salaries and job descriptions struggle to shine if they’re sitting under the shadow of a poor Glassdoor rating, outdated hiring processes or radio silence post-interview.

The Fintech Industry: Why It Matters Even More Here

In financial services, more specifically in the Funds and Trading space – everyone knows everyone.

It’s a surprisingly small (and well connected) market. Candidates are digging deep. They’re looking up Glassdoor reviews, stalking your company’s social channels, even asking ex-employees in their network for the real goss.

 

They want to know:
  • What’s the culture actually like?
  • How long do people really stay?
  • Why did three team members leave in six months?
  • Is the hiring manager known to develop talent, or burn it out?

Let’s be honest – people love a whinge more than a win. One bad experience gets shared more than ten good ones. And in a world of DMs, slack chats and industry meetups, bad news travels fast.

If the root of the problem is a particular team or manager, that’s something that needs to be tackled head-on. Patterns of exit? That’s not coincidence – it’s culture.

 

What Candidates Are Saying Behind the Scenes

We hear it daily:

  • “The role sounded great, but their socials look like a ghost town.”
  • “Glassdoor was full of red flags.”
  • “I was keen, but then I heard from a friend of a friend who worked there…”
  • “I interviewed there 5 years ago and didn’t have a good experience”
  • “I did 4 rounds of interviews then I never heard back”

Candidates don’t just research your company – they investigate it. And increasingly, employer brand is as much about how you treat people as what you offer them. This also applies to the agenciesyou decide to partner with. How do they represent your company? What is their candidate care and process like? This can also badly damage your brand.

So if you haven’t checked your reputation lately, it might be time.

 

Why Employer Branding Is a Business Strategy

This isn’t just HR fluff. Strong employer brands:

  • Attract top talent
  • Improve retention and internal mobility
  • Build reputations that boost client trust and partnerships
  • Help future-proof your team during growth and transformation

You don’t need to be perfect – you just need to be honest, consistent and willing to listen.

 

✅ 5 Things to Check Now

Here’s a quick health check for any leadership team or HR:

  1. Glassdoor Reviews – When was the last time you read them? If people are leaving negative reviews, what are you doing about it? And we aren’t talking a generic response to “look good”.
  2. Exit Interviews– Are you doing them? Who is conducting them? Are you listening – or just ticking the box?
  3. Social Presence – Do your socials reflect what it’s actually like to work there? Or are they stuck in 2010?
  4. Retention Rates– How long are your people staying and why are they leaving? You don’t want generic responses “I left for more money”, there’s always a deeper issue.
  5. Leadership Impact – Are certain managers seeing more turnover than others? If so, what support or change is being provided?

Your employer brand exists whether you choose to shape it or not. So if you’re not in control of the narrative, someone else is and that’s rarely a good thing.

If you’re curious about how your company is perceived in the market or want to build a more consistent employer brand story, I’d be happy to share what we’re seeing in the Fintech space.

Shannon Stobbs – Manager – LinkedIn

Kapital Consulting is a niche Fintech Recruitment Business specialising in Technology, Project Services and Data Recruitment across Australia. For more information connect with us on www.kapitalconsulting.com.au and follow us on www.linkedin.com/company/kapital-consulting

The Transformation of Data Platforms in Superannuation and Investment Management

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Lets take a decade by decade look…

Data evolution has been driven by technological advancements, regulatory demands and the need for improved fact paced decision-making and real time member engagement.

There are so many systems nowadays like NeoXam, Goldensource, Fencore, Finbourne, ICS, Eagle/BNY, Matrix/Rimes, MarkitEDM, State Street Alpha and Factset all of which have unique offerings and all vying for your business – but how did we get to this point of evolution with such sophisticated product platforms in our industry?

As the industry has grown, data platforms have evolved from basic systems handling static data to complex, real-time, and cloud-based platforms capable of processing vast amounts of information.

This transformation has enabled superannuation funds and investment managers to make more informed decisions, optimise operations and enhance member services.

Let’s jump in and take a look at the journey through the ages……

 

1. Early Data Platforms (Pre-2000s): Basic Record-Keeping and Compliance

Data platforms in the superannuation and investment industry in the early days were relatively simple. They were primarily designed to meet regulatory compliance needs, such as tracking contributions and maintaining member account balances. These systems were limited in scope and functionality and the data was often siloed with little integration across different functions and different systems.

They were basic database systems for tracking member accounts, contributions and withdrawals. They were simple reporting tools and required manual data input and processing and limited ability to provide  real-time insights or analytics.

 

2. Introduction of ERP and Financial Software (2000s-2010): Integration and Automation

As superannuation funds grew larger and the investment landscape became more complex, the industry began to adopt enterprise resource planning (ERP) systems and specialised financial software. These platforms introduced greater levels of integration across team functions, helping to automate back-office operations and provide more accurate financial reporting.

These systems allowed better integration of member data, investments, and accounting and data warehouses began to emerge, enabling the storage of large volumes of historical data for more comprehensive analysis. The start of automating routine tasks (payroll, fund administration and regulatory reporting).

Challenge was that data remained largely batch-processed with limited real-time capabilities however integration improved

 

3. Shift to Data Analytics and BI (2010-2015): Data-Driven Decision-Making

With increased industry competition and an increased focus on investment performance and member engagement, superannuation funds began to adopt more advanced data analytics and business intelligence tools. The ability to generate actionable insights from data became a strategic priority.

This era saw the introduction of data analytics and business intelligence (BI) platforms for portfolio management, risk assessment, and performance analysis. Data visualisation tools emerged and advancements in data reporting occurred for reg compliance, risk management and member comms.

Issue is that platforms were still predominantly on-prem making scalability and flexibility difficult.

 

4. Advent of Cloud-Based Platforms and Big Data (2015-2020): Scalability and Flexibility

The adoption of cloud-based platforms and the ability to process big data marked a significant turning point in the superannuation and investment industry. Advancements in cloud technology allowed funds to scale their data storage and processing capabilities, while also providing flexibility in managing both structured and unstructured data.

Cloud allowed the reduction of on-prem data centre costs and big data technologies enabled funds to process vast amounts of information quickly.

Data integration became more seamless and we saw the growth of advanced analytics, machine learning and AI to automate portfolio management and optimise investment decisions.

There were still issues around data security and privacy and the migration of legacy systems to cloud platforms required significant investment

 

5. Real-Time Data and AI-Driven Platforms (2020-2024): Innovation and Predictive Insights

The most recent phase of data platform evolution has been driven by AI, machine learning, and real-time data processing. These technologies are enabling superannuation funds and investment managers to make faster more informed decisions and offer personalised services to members.

With the reduction in many superfunds and investment firms due to either acquisitions or mergers, and also the increased use of SMSF, means that funds are required to produce more significant returns for members.

AI and machine learning algorithms are used to predict market trends, optimise portfolios and automate risk, which as an SMSF member, you probably don’t have access to.

Real-time data platforms provide instant insights into portfolio performance, market conditions and member behaviour.

Personalisation at scale: Funds can now offer tailored advice and investment options to members based on their unique circumstances, powered by data analytics and AI.

ESG integration: Data platforms are also being used to assess environmental, social, and governance (ESG) factors, allowing funds to meet growing demand for sustainable investment options.

Regulatory compliance still remains a challenge as funds must ensure they adhere to evolving rules on data privacy and financial transparency. Business also need to ensuring that AI and machine learning models remain ethical.

 

What the future Trends in Data Platforms will look like: Decentralisation, Blockchain, and Enhanced Automation

Looking ahead, the superannuation and investment industry is likely to see further evolution in data platforms, driven by emerging technologies such as blockchain, decentralised finance (DeFi), and enhanced automation.

 

Technology advancements and the adoption of funds to utilise the best platforms fit for member purpose, transparency, reg compliance and security are going to be an interesting road ahead.

Sean Turner

Founder | CEO | Tech Recruitment Leader
February 26, 2025

 

Kapital Consulting is a niche Fintech Recruitment Business specialising in Technology, Project Services and Data Recruitment across Australia. For more information connect with us on www.kapitalconsulting.com.au and follow us on www.linkedin.com/company/kapital-consulting

The Importance of Leadership Training

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Promoting staff into managerial roles is a key growth strategy for organisations. It not only rewards top performers but also helps businesses maintain continuity and promote from within. However, transitioning from an individual contributor to a manager is a significant shift, requiring a new set of skills. Leadership training is crucial during this transition, ensuring that newly promoted managers are equipped to lead teams effectively and drive business success. Here’s why leadership training should be an essential part of any promotion strategy:

 

1. Bridging the Skills Gap Between Performer and Leader

Many employees excel in their individual roles due to their technical expertise, efficiency, and dedication. However, the skills that make someone successful in their job don’t automatically translate to effective leadership. Leading a team requires different competencies such as decision-making, conflict resolution, motivating others, and strategic thinking. Leadership training bridges this gap by helping employees understand the nuances of managing people, building trust, and fostering collaboration.

Without this training, even the most talented employee can struggle when promoted to a management role, which can lead to disengagement, increased stress, and even failure. Training provides the tools to make the shift successfully, helping employees understand their new responsibilities.

2. Fostering Emotional Intelligence and Communication Skills

One of the most important aspects of leadership is emotional intelligence (EQ). Managers need to be able to recognise and manage their own emotions, as well as understand and influence the emotions of others. Leadership training helps develop EQ by teaching self-awareness, empathy, and interpersonal skills, all of which are critical for leading teams effectively.

Communication also plays a pivotal role in leadership. Managers must be able to communicate with different stakeholders in ways that inspire confidence and clarity. Leadership training helps develop these communication skills, teaching new managers how to convey feedback, delegate tasks, and handle sensitive situations professionally.

3. Building Confidence in Decision-Making

Managers are often tasked with making difficult decisions that impact both their team and the broader organisation. Leadership training can help new managers build confidence in their decision-making by introducing frameworks for evaluating options, assessing risks, and making informed choices.

Leadership courses also emphasise the importance of accountability, teaching managers to take responsibility for their decisions and how to adjust strategies when things don’t go as planned. Building this confidence early on ensures that managers can make sound decisions under pressure, which is crucial for maintaining team morale and operational efficiency.

4. Cultivating a Leadership Mindset

Moving from being an individual contributor to leading a team requires a shift in mindset. New managers need to learn to see the bigger picture, focusing not just on their own performance but on the growth and success of their team. Leadership training encourages this shift by helping employees understand how to motivate others, foster a positive team culture, and align their team’s objectives with the company’s goals.

Cultivating this mindset early on helps new managers avoid common pitfalls, such as micromanagement or focusing too much on personal achievement rather than team success. A leadership mindset also fosters innovation and creativity, encouraging managers to think strategically about the future.

5. Ensuring Consistent Leadership Across the Organisation

When leadership training is part of the promotion process, it helps establish consistency in how managers lead across the organisation. This uniformity is critical for maintaining company culture, improving employee satisfaction, and driving productivity. With leadership training, managers across different departments and functions learn the same principles and values, which ensures a cohesive approach to management.

Consistent leadership styles also help teams perform better. When employees know what to expect from their managers – clear communication, fair decision-making, and strong support – they are more likely to trust their leaders and stay engaged in their work.

6. Preventing Burnout and High Turnover

New managers often face high levels of stress as they adjust to their increased responsibilities. Leadership training can ease this burden by providing new managers with the tools they need to manage their time, delegate tasks effectively, and support their team without becoming overwhelmed.

Without proper training, new managers are more susceptible to burnout, which can lead to high turnover and a negative impact on team performance. A strong leadership training program, on the other hand, fosters resilience, teaching managers how to prioritise self-care and create a sustainable work-life balance.

7. Enhancing Team Performance and Engagement

Effective leaders have a direct impact on team performance and engagement. When managers are trained in leadership best practices, they are better equipped to motivate and inspire their teams. They understand how to provide constructive feedback, recognise individual strengths, and foster a collaborative team environment.

Leadership training also helps new managers learn how to set clear goals and expectations for their team, ensuring that everyone is aligned and working towards the same objectives. This clarity leads to higher productivity, improved morale, and ultimately better business outcomes.

Promoting employees into managerial roles is a natural part of growth, but without the right support, it can lead to challenges for both the individual and the organisation. Leadership training is essential for equipping new managers with the skills they need to succeed. It not only helps bridge the gap between individual contribution and leadership but also fosters a positive work environment, improves decision-making, and drives team performance. Investing in leadership development is an investment in the long-term success of your organisation, ensuring that your new managers are prepared to lead with confidence and competence.

Amaleen Ibrahim – Consultant

Kapital Consulting is a niche Fintech Recruitment Business specialising in Technology, Project Services and Data Recruitment across Australia. For more information connect with us on www.kapitalconsulting.com.au and follow us on www.linkedin.com/company/kapital-consulting

Conducting Exit Interviews: what you’re missing out on by skipping them

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I’ve recently heard some horror stories about company cultures in Sydney (hence my last article!), where employees have raised concerns but faced a lack of response due to a ‘clique’ mentality within the organisation. Despite people leaving, it seems these companies show little interest in addressing the issues or improving the situation.

Exit interviews are one of the most underutilised tools in a company for improving employee retention, refining workplace culture, and identifying areas for growth. While many organisations overlook the process, a well-structured exit interview can provide invaluable insights that help prevent future turnover and improve overall organisational health. Skipping exit interviews means missing out on a wealth of knowledge from employees who have had firsthand experience in your company’s ecosystem.

Why Exit Interviews Matter

Exit interviews provide a unique opportunity to gather unfiltered feedback from employees who are leaving. Unlike current employees, they are more likely to be candid about issues they faced, whether it’s related to management, team dynamics, compensation, or company culture. By conducting exit interviews properly, companies can:

  • Identify patterns and trends: Multiple employees leaving for similar reasons may indicate a systemic issue that needs addressing
  • Improve employee retention: Insights gained can help organisations make changes that reduce turnover
  • Refine the hiring process: Can reveal whether the expectations set during recruitment match the reality of the job
  • Boost company culture: Honest feedback on workplace culture can guide initiatives to make your organisation a better place to work

 

Steps to Conduct an Effective Exit Interview

To get the most out of an exit interview, it’s crucial to approach it thoughtfully and professionally. Here’s a step-by-step guide:

 

1.       Who should conduct an exit interview?

The exit interview should ideally be conducted by someone who can ensure a neutral, non-intimidating environment for the departing employee. The best options are:

  • HR: HR professionals are usually the most suitable for conducting exit interviews. They are trained to handle sensitive information, provide a neutral space for discussion, and ensure confidentiality. Since HR is not part of the employee’s direct reporting line, the individual may feel more comfortable sharing honest feedback without fear of consequences.
  • Senior Leader: A Senior Leader who doesn’t work directly with the departing employee can be a good alternative. This should be someone who can maintain professionalism and avoid creating a defensive environment during the interview.

Whoever conducts the exit interview should establish trust by reassuring the employee that the feedback will remain confidential and used constructively.

 

2.       Schedule a Face to Face or Virtual Meeting

Ideally in person (virtually if last resort), the exit interview should feel like a real conversation, not a formality. It’s best to schedule the meeting during the employee’s last few days, but not on their very last day, as this may seem rushed and less sincere. Something that’s an informal discussion, even outside of the office in a coffee shop, wherever you feel the employee will open up and discuss openly.

Ensure the setting is private and comfortable, so the employee feels secure in sharing honest feedback.

 

3.        Create an Open, Non-Judgmental Atmosphere

It’s important to reassure the departing employee that their feedback is valuable, will remain confidential, and will be used constructively to improve the organisation. Make it clear that the exit interview is an opportunity for the company to learn and grow.

You might say: “We want to use your feedback to make this a better place for future employees and improve on the things that might not have worked well for you.”

Being empathetic and open-minded will encourage the employee to be honest.

 

4.        Ask Structured but Open-Ended Questions

The goal is to get meaningful, actionable insights from the employee. Start with broad, open-ended questions that allow them to explain their experience and follow up with more specific questions as needed.

  • What made you decide to leave? This can help reveal whether the employee left for reasons within the company’s control (e.g., management, culture, compensation) or due to external factors (e.g., relocation, career change, headhunted).
  • What did you enjoy most about working here? Positive feedback can be just as useful as negative. Understanding what the company is doing well allows you to continue fostering those elements.
  • What could have been done differently to keep you here? This question provides direct insight into areas for improvement, whether it’s salary, growth opportunities, culture, management etc.
  • How would you describe the culture here? Feedback on culture is critical, as a negative work environment can be a major factor in turnover. Understanding the perception of your company’s culture can help in making necessary adjustments.
  • Do you feel like your role and responsibilities were clearly defined? This will highlight any disconnects between job expectations and the actual duties the employee performed, helping refine job descriptions for future hires.
  • What advice would you give to your manager? This can provide insight into what worked and didn’t work in the role and how future employees can be better set up for success.

 

5.        Take Notes, But Focus on Listening

Listening actively is the most critical aspect of an exit interview. While taking notes is essential, make sure your primary focus is on understanding the employee’s perspective. Ask follow-up questions for clarification but avoid being defensive or interrupting. This is their opportunity to speak openly, and they should feel heard.

 

6.        Maintain a Professional and Neutral Stance

Even if the feedback is difficult to hear, maintain a neutral, professional demeanour. It’s crucial not to get defensive or attempt to justify any actions or company policies during the interview. Instead, focus on gathering as much information as possible.

You might respond to challenging feedback by saying: “That’s really valuable to know. We appreciate your honesty, and we’ll take this into account as we move forward.”

 

7.        Conclude on a Positive Note

Thank the employee for their contributions to the company, acknowledge their feedback, and wish them well in their future endeavours. Ending on a positive note ensures that they leave with a good impression of the organisation, which is important for maintaining a strong employer brand.

You might say: “We’re grateful for the time you spent with us and for your willingness to share your thoughts. Best of luck in your next role, and know that our door is always open if you need anything.”

What to Do With the Information

Once the interview is complete, the real work begins. Review the feedback for patterns and actionable insights, then share this information (anonymously if needed) with relevant managers or leaders. Use the feedback to:

  • Identify and address recurring issues, whether it’s poor management, lack of growth opportunities, or unclear role expectations
  • Improve the onboarding process to set clear expectations for new hires
  • Refine your company culture based on the concerns raised by departing employees

Taking actionable steps based on exit interview feedback shows that the company values employee input and is committed to improving the work environment, and to note the word really does spread in the market for bad experiences!

 

Skipping exit interviews or conducting them superficially means missing out on critical insights that could improve your company’s employee experience and retention. By approaching exit interviews considerately, you can reduce turnover, enhance your company culture, and strengthen your employer brand.

Don’t let the opportunity for growth walk out the door with your departing employees—make exit interviews a key part of your company’s continuous improvement strategy.

Shannon Stobbs – Manager – LinkedIn

Kapital Consulting is a niche Fintech Recruitment Business specialising in Technology, Project Services and Data Recruitment across Australia. For more information connect with us on www.kapitalconsulting.com.au and follow us on www.linkedin.com/company/kapital-consulting