CAPCO POLAND

*We are looking for candidates willing to relocate to the Middle East - Qatar for the duration of the project.

At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management.

Our secret?

A culture that’s fast, flexible, and fiercely entrepreneurial. We move quickly, think creatively, and always put our people first.

We’re passionate about growth - both for our clients and ourselves - and that means attracting the very best talent to join us on this exciting journey.

We’re proud to be:

• Trailblazers in banking, payments, capital markets, wealth, and asset management

• Champions of an agile, nimble, and innovative work environment

• Dedicated to building a team of top-notch professionals who share our drive and vision

The Role

Capco is looking for an AI Security Consultant to help our clients identify, assess, and manage security risks associated with AI technologies and AI-enabled solutions. You’ll work across data, security, technology, risk, and business teams to embed appropriate security controls throughout the lifecycle of AI systems.

This is an opportunity to work at the intersection of AI, data, and cybersecurity within financial services, helping clients adopt AI securely while protecting sensitive information, strengthening governance, and managing emerging security risks.

The engagement is expected to run for one year and requires relocation to the Middle East for its duration. You will collaborate with client and project teams to deliver the agreed data engineering scope and project outcomes.

What You’ll Do

• Assess security risks associated with AI systems, models, data pipelines, and supporting technology environments.
• Conduct AI security assessments and secure AI architecture reviews.
• Define and implement security controls, standards, and guardrails across the AI lifecycle, from design and development through deployment and ongoing operation.
• Identify and assess AI-specific threats and vulnerabilities, including risks relating to data exposure, model access, prompt manipulation, and misuse.