Risk Model Management Specialist

16 godzin temu

łódź, łódź voivodeship, Polska OPTIVEUM sp. z o.o. Pełny etat
Risk Model Management Specialist – Financial Crime Prevention (AML)About the OfferWe 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.
Key Details:Rate: 100 PLN/hWork Model: B2B contract, full-time (40 h/week), hybrid – 2–3 days per week in the officeLocation: Gdańsk, Gdynia, Warsaw or ŁódźLanguage: Fluent EnglishResponsibilities:Own the development and validation of transaction monitoring models, with a focus on documentation, review and governanceLead model governance activities within TMU, including validation assessments and implementing feedback from the second line of defenceDefine and carry out the approach to model development and experimental designDocument model design and outcomes, working with the analytics team to capture assumptions, limitations and weaknesses accuratelySupport prototyping of tests and analytical methods hands-onMentor 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 outcomesWork professionally with internal and external stakeholdersRequirements:Extensive experience in model risk management, model governance and model validationA strong background in data science, statistics and quantitative methodsExperience in academic or technical writing, especially model documentationAn advanced degree in a quantitative field such as Computer Science, Statistics, Mathematics or Actuarial ScienceStrong analytical and problem-solving skillsExcellent communication, presentation and stakeholder management skillsA structured, proactive way of working, with the ability to take initiative and work independentlyConfidence in setting direction and delivering results in a fast-changing environmentFluent English, spoken and writtenNice to have:Experience in Financial Crime or AML, especially transaction monitoringHands-on work with transaction monitoring platforms such as QuantexaExperience as a model validator or quantitative risk analystA banking background