Publicerad: 2026-02-17

Senior Data Scientist – Financial Crime & Generative AI

Anställning

Heltid

Lönetyp

Fast månads- vecko- eller timlön

About the Company

Avaron AB is a growing consultancy focused on technology, finance, and business support. We match your expertise with the market's most interesting assignments, offering a platform where your professional development is central.

About the Assignment

We are looking for a Senior Data Scientist to develop Generative AI scenarios within the Financial Crime Prevention domain. You will join a strategic, fast-paced program where expert-level technical execution is combined with close collaboration with stakeholders across multiple workstreams. The environment is shaped by large-scale digital product development in banking, with a strong focus on risk, compliance, and financial crime prevention.

Job Description
  • Develop and mature Generative AI scenarios for Financial Crime Prevention
  • Contribute to rapid development of complex, large-scale digital products within the Financial Crime domain
  • Apply data science concepts to risk, compliance, and financial crime prevention use cases
  • Work across multiple workstreams in program and change contexts, supporting transformation efforts
  • Collaborate closely with stakeholders and communicate progress, risks, and outcomes clearly
Requirements
  • Proven experience contributing to the rapid development of complex, large-scale digital products within the Financial Crime domain
  • Solid understanding of data science concepts and their application in risk, compliance, and financial crime prevention
  • Strong capability in program and change management contexts, including working across multiple workstreams in fast-paced transformation efforts
  • Ability to pass security clearance (requires Swedish citizenship, dual citizenship not permitted)
Nice to have
  • Generative AI (LLMs)
  • Python
  • AWS
  • Nordea KYC processes
Application

Selections are made on an ongoing basis, so we recommend that you apply as soon as possible.

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