Data Modeller

Role: Data ModellerSeniority level: IntermediateLocations: Copenhagen (DK) or Helsinki (FI) or Stockholm (SE) or London (GB)Remote: 50%Assignment period01 Oct 2026 - 31 Mar 2027 Assignment description🔹 Lead Risk Model Specialist – Financial Crime Prevention Models 🔹 Location: Stokholm, Copenhagen, London or Helsinki. Finland preferred 3 days from the office. Role SummaryWe are looking for an experienced Lead Developer to own the development, validation, and governance of transaction monitoring models within a Financial Crime Prevention / AML function for a major Nordic banking client. This role combines deep model risk expertise with hands-on analytical work, balancing rigor and practical constraints while driving model governance forward within the Transaction Monitoring Unit (TMU). Key Responsibilities:Own the development and validation of transaction monitoring models, with a focus on model documentation, model review, and model governanceDrive model governance activities within TMU, including validation assessments and implementation of 2nd line feedbackSet and execute the direction for model development and experimental design, finding the right balance between analytical rigor and practical constraintsDocument model design and outcomes, iterating with the analytics team to ensure accuracy, completeness and analysis of model assumptions, limitations and weaknessesProvide hands-on support for prototyping tests and analytical methodologiesMentor, uplift and collaborate within the analytics team to design, test, and implement model SOPs (e.g. data lineage/governance, tuning and calibration, monitoring of model operations and outcomes)Represent the organisation with a high degree of professionalism in collaboration with external and internal stakeholders Required Skills and ExperienceExtensive experience in model risk management, model governance, and validationStrong background in data science, statistics and quantitative methodsExperience in academic or technical writing, particularly in the context of model documentationAdvanced degree in a quantitative field, e.g. Computer Science, Actuarial Science, Statistics, Mathematics, or equivalentStrong analytical and problem-solving skillsExcellent communication, presentation and stakeholder management skillsOrganised, structured and professional, able to take initiative and work proactively under own directionAssertive communication with the ability to set direction and achieve results in a dynamic, changing environment Nice to HaveExperience in Financial Crime/AML, e.g. transaction monitoring and technology suppliersTransaction monitoring platforms such as QuantexaExperience as a model validator or quantitative risk analyst Required skillsStatistical ModellingRisk ManagementFinancemodellingData ScienceTransaction monitoringAMLModel ValidationTransactionPreferred skillsBanking LanguagesEnglish (Proficient)