Job Description

& Summary

AI Solutions, Financial Crime Technology

We'relooking for a SeniorAgentic AI Analystto join our Financial Crime Technology team and help deliver AI-powered solutions for clients in the banking and insurance industries. In this role, you will partner closely with clients to understand their challenges, shape solution strategies, and ensure our technical delivery addresses what matters most.You'llserve as a key link between client stakeholders and our delivery teams — translating business needs into actionable requirements and bringing client insights back to strengthen our approach.

& summary

• Understand and define client challenges, translating them into clear, actionable requirements that guide solution design.

• Lead client engagements end to end, facilitating workshops and working sessions while serving as the primary day‑to‑day contact across business and technology areas.

• Synthesize and communicate insights, developing and presenting findings, recommendations, and solution proposals to senior stakeholders.

• Identify opportunities for AI and advanced analytics that can deliver measurable value in financial crime operations.

• Support business development and practice growth by contributing to proposals, informing early client conversations, and bringing engagement insights back to improve methodologies and strengthening the AI practice.

Requirements of the role

Consulting & Client Engagement:

• Minimum 2 years in consulting/advisory/client‑facing tech/analytics roles

• Demonstrated ability to build trusted relationships with stakeholders

• Strong facilitation skills, leading workshops and navigating client environments

• Experience translating ambiguous business challenges into structured problem definitions

• Ability to communicate complex topics clearly to technical and non-technical audiences

• Ability to work independently while staying alignment with broader team objectives

• Willingness to travel for client engagements

• Excellent English communication skills, both written and verbal — this is essential

• Analytical & Problem-Solving Mindset ( you look beyond surface-level requests to understand underlying drivers)

• Experience with Agile delivery environments is an advantage

Industry Knowledge:

• Experience in financial services, preferably banking or insurance

• Familiarity with financial crime domains (e.g., AML, fraud detection, sanctions, KYC) is an advantage

• Understanding of regulatory environments and operational realities within financial institution

Technical Familiarity:

• Sufficient understanding of AI and data technologies to engage credibly with technical teams and clients

• Familiarity with concepts such as large language models, machine learning, and data platforms (e.g., Databricks, cloud environments)

• Prior exposure to analytics, BI, or data-driven projects in a business or consulting context, Python, SQL

Our Benefits and Fun

• You'lljoin an emerging practice at the intersection of AI innovation and financial crime prevention — a space where technology decisions haverealoperational and regulatory impact.You'llwork with leading financial institutions on challenges that require both analytical rigor and practical business judgment.

• Concentrated experience and rapid career growth. It may sound like a platitude, but it really is.

• Fair wages plus paid overtime.

• Paid time off 25 days, 3 Wellbeing days and 2 extra days off from the company at the end of the year.

• High-end Ultrabook and iPhone with unlimited data.

• Benefit program with 45.000 points that you can use for holidays, education, food vouchers, sports (Multisport), health... Simply on what you enjoy.

• Supporting your development and education: business and digital skills training (e.g. Alteryx, Power BI, Tableau), ongoing training and certifications, e.g. Microsoft (Azure, PowerApps), project management (Prince2, PMI), service management (ITIL), agile development (Scrum, SAFe), DAMA, Salesforce, coaching and presentation skills and more.

• Extra-work activities and Away Days (team building, ski weekend, etc.).

• Regular feedback on your work, also consultation with a coach with whom you can address your further development and career direction.