Poland’s banks are deploying AI faster than they can hire the people to run it. Around 40% of Polish financial firms now use artificial intelligence for analytics and fraud detection, one of the highest rates in the EU. Yet, 85% of them say they cannot find AI-skilled talent, and they are paying roughly 28% more to secure it.
If that gap sounds manageable, it is about to get harder. On 2 August 2026, the high-risk provisions of the EU AI Act become enforceable, and they land directly on banking. For Polish financial employers, AI hiring has stopped being a growth ambition. It is now a deadline.
Why Are Polish Banks Hiring AI Talent So Fast?
The pressure is regulatory, and it is specific. Under the EU AI Act, credit scoring, loan screening and insurance underwriting are all classified as high-risk uses of AI. From August, any bank or fintech running these systems must have documented governance, audit trails and genuine human oversight in place, or face enforcement.
Layer the Digital Operational Resilience Act (DORA) on top, in force since January 2025, and the message sharpens. Germany’s financial regulator BaFin set the tone in December 2025 by treating AI as part of ICT risk management under DORA, and supervisors across the EU are aligning behind the same expectations. AI is no longer an innovation project that lives in a lab, it is a supervised system that someone has to own.
That single shift is creating an entire category of jobs.
The AI Roles Polish Banks Are Hiring For
It helps to split the demand into two halves: the people who build AI systems, and the people who control them.
On the build side, the familiar technical roles are intensifying. Machine learning engineers, data engineers and AI platform specialists are the backbone of every deployment. Demand is running well ahead of supply, with AI and machine learning job postings in Poland up around 22% year on year. Poland’s biggest banks are long past the pilot stage.
- PKO Bank Polski runs a fleet of automated customer service agents (voicebots/chatbots) and uses advanced analytics/fraud management systems (including behavioral insights).
- mBank operates AI voicebots and chatbots alongside biometric fraud detection.
- ING Bank Śląski uses behavioural biometrics (and advanced profiling) for fraud prevention.
- Bank Millennium has leaned into AI-driven financial management and transaction monitoring.
The control side is where the banking story splits from the wider tech market, and where 2026 hiring will be sharpest. AI governance leads, model risk specialists, ICT risk owners and AI compliance professionals are moving from optional to mandatory. These are not documentation jobs. They need someone who can read a model, understand the AI Act’s high-risk obligations, and sign off on whether a credit-decisioning system is defensible to a regulator.
The fintech workforce mix shows where the balance is settling. Engineering and platform specialists account for around 45% of roles, data and AI professionals 25%, cybersecurity and risk tech 20%, and product and experience designers 10%, with new hybrid roles such as human-AI collaboration designers starting to appear. Fintechs including BLIK, PayU and Revolut, and technology providers such as Comarch and Asseco, are all fishing in the same pool as the banks.
Where Poland’s AI Talent Gap Really Is
The shortage is structural, not seasonal. Verita HR’s analysis puts Poland at just over 16,000 AI and machine learning specialists nationwide, with 6,400 of them concentrated in Warsaw. For a market of Poland’s size and ambition, that is a thin layer, and an uneven one. Warsaw’s senior IT professionals already command salaries around 22% above the national average, which pushes hiring out toward Krakow, Wroclaw and Gdansk.
But the deepest gap is not raw technical skill. It is the hybrid profile. The market is short of people who pair technical depth with regulatory and governance fluency, which is exactly the blend high-risk AI compliance now demands. A brilliant data scientist who cannot navigate DORA is only half the hire a bank needs in 2026. A compliance specialist who cannot interrogate a model is the other half. The people who hold both are rare, and they know it.
Speed makes it worse. In this market a strong senior engineer can field several offers inside a week. A slow hiring process is not just inconvenient. It is how you lose the candidate.
What This Means for Employers
Three priorities stand out for 2026:
- Scope roles around the hybrid reality. A model risk role written as a pure compliance job will attract the wrong shortlist. Build the technical and regulatory requirements into the brief from the start.
- Move at market speed. A multi-stage process designed for a slower era now actively costs you talent. Compress your decision-making.
- Treat location as strategy. Balance Warsaw’s depth against the cost and availability of Krakow, Wroclaw and the Tri-City. Where you hire is now part of whether you hire.
What This Means for Candidates
The signal for professionals is just as clear. The roles with the longest runway are the ones regulation is creating, not the ones automation is trimming. Data literacy, model governance and regulatory fluency are fast becoming the skills that separate a vulnerable role from a durable one. Upskilling toward oversight and responsible AI deployment is a safer bet than competing on coding speed alone.
Poland’s financial sector is not facing an AI jobs crisis. It is facing an AI hiring race. And the August deadline has started the clock.
How Verita HR Can Help
Get in touch with Verita HR. The team specialises in placing AI, data and technology talent across Poland and Central Europe, including the governance, model risk and compliance roles that banking and fintech now depend on, whether you are building an AI function from scratch or hiring a critical lead before the August deadline.
Grace Sharp
See Also:
The Companies Closing Poland’s AI Gap
Poland Salary Guide 2026: IT, Finance & Engineering Pay Benchmarks
What Does a Chief AI Officer (CAIO) Do?
