Fintech Skills of the Future: How to Grow as Your Work Changes

Here is a quick thought experiment.

Think about what makes you good at your job today. Maybe you know every process by heart, you never miss a deadline and colleagues come to you when something breaks.

Now imagine that 50% of what makes you productive today is handled by technology within the next few years.

Would you still be one of the strongest people in your company?

Evotym Founder & CEO Anastasia Zencika asked fintech leaders a version of this question at "The Fintech Team of 2030", a workshop she co-hosted with Olga Karūna Gailuma, Founder of Mentoring Academy, at UN:BLOCK Fintech Forum in Riga in October 2026.

We have already written about how fintech companies can prepare their hiring for 2030. In this article, we look at the same question from the candidate's side: which fintech skills of the future will help you keep growing as your work changes, and how to show them when you apply for your next role.

New skills, new roles, new opportunities

According to the World Economic Forum's Future of Jobs Report 2025, 97% of financial services employers expect AI to transform their business by 2030, compared with 86% across all industries. The same report estimates that 39% of workers' key skills are expected to change over this period.

Companies are also creating work that barely existed a few years ago. In Microsoft's 2025 Work Trend Index, 78% of leaders said they were considering hiring for new AI roles. In our conversations with fintech clients, roles that were rare a few years ago now come up more and more often:

• AI Transformation Leaders lead the redesign of how a company works with AI.
• AI Product Owners own products and features built on AI, from the use case to the results.
• Automation Leads find processes that can be automated and make the automation work in practice.
• Agent Managers set up, supervise and improve AI agents that handle parts of a workflow, such as client onboarding.
• AI Governance specialists make sure AI systems meet regulatory requirements and internal policies.

These roles show how fast new work is appearing in fintech. For most professionals, the bigger change will happen inside the role they already have, and the skills below will help you grow in it.

See which parts of your work will grow in value

A simple way to prepare for the future is to look at your job as a set of tasks. Technology will take over some of them. The parts that depend on your judgement, decisions and relationships will become even more valuable.

The model presented at the workshop splits work into 4 groups:

• Automate: routine, repeatable, rules-based tasks that technology can perform on its own.
• Augment: work where a person and technology together do better than either alone, such as analysis, research and investigation.
• Accountable: work where technology can support you and even do most of the analysis, while a person makes the decision and owns the consequences, such as risk, regulation and approvals.
• Advantage: work where people create the competitive value, such as relationships, negotiation, leadership, judgement and creativity.

Most jobs include tasks from all 4 groups at the same time.

Anastasia showed how this works with marketing lead generation. Researching target companies and collecting contacts can be automated, outreach is augmented, deciding which accounts are strategic stays accountable, and meeting, negotiating and building relationships remain an advantage only people can create.

Try it with your own role. Write down the 5 most important things you do and see where each one lands. Tasks in Automate and Augment are where you can grow through AI leverage: the better you delegate them to technology, the more time you have for the rest. Tasks in Accountable and Advantage show your strongest value today, and they are the ones worth developing and talking about in interviews.

If you find a task where you cannot explain why a person still does it, that is a good sign it will change soon. Better to be the one who changes it.

What a top performer looks like tomorrow

Back to the opening question. Today, a top performer is often someone who knows the process perfectly, delivers reliably, hits KPIs and knows the company inside out. All of this is still valuable.

As more of the process is automated, the top performer of tomorrow will also:

• learn faster than their work changes
• use technology as leverage
• challenge processes that no longer work
• own outcomes
• work across team boundaries
• apply judgement when automation stops

As Anastasia put it: "Today's top performer is not automatically tomorrow's top performer."

The good news is that each of these can be developed.

5 fintech skills of the future that will move your career forward

These skills grow in importance as work changes. For each of them, you will find a few practical ways to build it and show it. The 5th skill, AI leverage, gets its own section below.

Expertise

When technology produces more of the answers, someone still needs to understand the subject well enough to tell a good answer from a weak one. Deep knowledge of your field, and an understanding of why the work is done the way it is, becomes more valuable with every new tool.

"If technology gives you an answer, you still need to know whether the answer is good," says Anastasia.

How to build it: Go deeper into the reasons behind your work: the regulation, the risk and the economics behind each process. When you use AI tools, check their answers against what you know. In interviews, explain what you did and why the decision was right.

Adaptability

Adaptability means changing your way of working when the old way stops being useful, and learning a little faster than your work changes. It also includes unlearning: letting go of habits that made you successful before so you can build new ones.

How to build it: Pick 1 routine you would not build again if you started from scratch, and replace it. Try new tools on your own, without waiting for formal training. In interviews, share a specific moment when you changed how you work and what it gave you.

Ownership

Ownership means focusing on the results of your work and taking responsibility for them.

How to build it: Describe your work in outcomes: "reduced chargeback losses" says more than "handled chargebacks". Volunteer for problems between teams where nobody owns the result yet. When a process stops working, come with a proposal for how to fix it.

Human edge

Judgement, trust, leadership, coaching and relationships are the areas where people keep creating value as technology takes over more routine work. The PwC 2026 Global AI Jobs Barometer points in the same direction: employers increasingly emphasise judgement, creativity and leadership.

Olga explained why this matters so much in fintech: "There's a difference between being capable of doing something and being trusted to take responsibility for it. In fintech, where decisions affect people's money, security, and lives, that distinction matters enormously."

How to build it: Take on work where trust and responsibility matter: mentoring a junior colleague, leading a conversation with a client or regulator, owning an approval. This experience is the hardest to automate and the easiest to recognise in an interview.

If you want to develop the softer side of this list, our guide to the soft skills that boost your fintech career covers communication, proactivity and analytical thinking in more detail.

How to build AI leverage

AI leverage is about using technology to multiply what you can achieve in your role.

Employers are ready to reward AI skills. In a 2026 PwC survey of executives at large US financial services firms, 91% said they were increasing compensation for employees with AI skills.

The way people work with AI is changing too. The same Microsoft report describes a new kind of professional, the "agent boss": someone who builds, delegates to and manages AI agents to amplify their impact. In the survey, 41% of leaders expect their teams to be training AI agents within 5 years, and 36% expect them to be managing them.

You don't have to wait for a new role to start. Here is a simple way to build AI leverage in the job you have now:

1. Pick 1 task from your Automate or Augment list. Choose something you do every week, such as a report, a reconciliation check or research before a client call.
2. Delegate it to AI and stay in charge of quality. Define what a good result looks like and check the output. This is where your expertise matters.
3. Measure the result. Count hours saved, errors avoided or faster turnaround. A number makes your impact visible.
4. Use the time you get back for Accountable and Advantage work.
5. Write it down. This becomes a strong line in your CV and a story for your next interview.

There is 1 rule specific to fintech: use only tools your company has approved, especially with client or transaction data. In the same PwC survey, 90% of executives said employees using AI outside centrally governed tools created regulatory risk. Knowing how to use AI safely is part of the skill.

How to show these skills when you apply

AI has also changed how people apply for jobs. As Anastasia explains in her recent article for PaySpace Magazine, applying used to take real effort, and that effort itself showed genuine interest in a company. Now AI makes it quick and easy to tailor a CV, so a polished application says much less about the person who sent it.

For experienced candidates, this is good news. What makes you stand out is the context of your experience: what you built, what you inherited and which decisions were yours. 2 candidates with the same title can have very different experience.

Compare these 2 CV lines, for example:

• "Managed KYC onboarding for business clients."
• "Redesigned KYC onboarding for business clients: automated document checks cut review time from 2 days to 4 hours, while final decisions on high-risk clients stayed with the team."

The second line shows expertise, AI leverage, ownership and accountability in a single sentence.

Make the hiring decision easy: say which capability you bring and how you would use it to solve the problem this specific company has. AI can save you time on the routine parts of a job search. The story only you can tell is what gets you noticed.

Ask yourself 5 questions about your career

These 5 questions help you see where you are already strong and where your next step could take you:

1. What value do I create today?
2. Which part of this value is likely to change?
3. What new capability would I love to build?
4. What is my first realistic step towards it?
5. Who can support me along the way?

Don't keep the answers to yourself. Take them to a conversation with your manager, a mentor or a recruiter.

Thinking about where your experience could take you next? Explore open roles at Evotym Careers or reach out to our Recruitment Partners – we'll be happy to talk it through with you.