Risk Model Management Specialist

Risk Model Management Specialist – Financial Crime Prevention (AML)

We are currently looking for a Risk Model Management Specialist to join the Financial Crime Prevention team of our client, a major Nordic bank. For this role, Optiveum is the recruitment and contracting party, which means you will sign the cooperation agreement directly with us.

You will take ownership of the development, validation and governance of transaction monitoring models within the bank's Transaction Monitoring Unit (TMU). The role combines deep model risk expertise with hands-on analytical work: you will set the direction for model development, balance analytical rigor with practical constraints, and help build strong model governance across the team.

• Rate: 100 PLN/h

• Work Model: B2B contract, full-time (40 h/week), hybrid – 2–3 days per week in the office

• Location: Gdańsk, Gdynia, Warsaw or Łódź

• Language: Fluent English

Responsibilities:

• Own the development and validation of transaction monitoring models, with a focus on documentation, review and governance

• Lead model governance activities within TMU, including validation assessments and implementing feedback from the second line of defence

• Define and carry out the approach to model development and experimental design

• Document model design and outcomes, working with the analytics team to capture assumptions, limitations and weaknesses accurately

• Support prototyping of tests and analytical methods hands-on

• Mentor the analytics team and work with them to design, test and implement model SOPs, such as data lineage and governance, tuning and calibration, and monitoring of model operations and outcomes

• Work professionally with internal and external stakeholders

Requirements:

• Extensive experience in model risk management, model governance and model validation

• A strong background in data science, statistics and quantitative methods

• Experience in academic or technical writing, especially model documentation

• An advanced degree in a quantitative field such as Computer Science, Statistics, Mathematics or Actuarial Science

• Strong analytical and problem-solving skills

• Excellent communication, presentation and stakeholder management skills

• A structured, proactive way of working, with the ability to take initiative and work independently

• Confidence in setting direction and delivering results in a fast-changing environment

• Fluent English, spoken and written

Nice to have:

• Experience in Financial Crime or AML, especially transaction monitoring

• Hands-on work with transaction monitoring platforms such as Quantexa

• Experience as a model validator or quantitative risk analyst

• A banking background