Risk Consultant

Risk Model Management Specialist / AML Transaction Monitoring Lead

(Stockholm, Helsinki or Copenhagen)

Role Overview:

We are looking for an experienced Risk Consultant 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).

• Location: Stockholm (SE), Helsinki (FI), or Copenhagen (DK)
• Working Model: Hybrid (3 days from the office / 50% remote)
• Assignment Period: November 2, 2026 – October 31, 2027
• Allocation: 100% (40 hours per week)

Key Responsibilities:

• Model Development & Validation: Own the development and validation of transaction monitoring models, focusing heavily on model documentation, review, and governance.
• Governance & Implementation: Drive model governance activities within the TMU, including validation assessments and the implementation of second-line feedback.
• Analytical Strategy: Set and execute the direction for model development and experimental design, striking the right balance between analytical rigor and practical operational constraints.
• Documentation & Review: Document model design, assumptions, limitations, and weaknesses, iterating closely with the analytics team to ensure complete accuracy and completeness.
• Prototyping & Testing: Provide hands-on support for prototyping tests and advanced analytical methodologies.
• Mentorship & Standard Operating Procedures (SOPs): Mentor, 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).
• Stakeholder Management: Represent the organization with a high degree of professionalism in collaboration with both internal and external stakeholders.

Required Skills & Experience:

• Extensive experience in model risk management, model governance, and validation.
• Strong background in data science, statistics, and quantitative methods.
• Proven experience in academic or technical writing, particularly in the context of complex model documentation.
• Advanced degree in a quantitative field (e.g., Computer Science, Actuarial Science, Statistics, Mathematics, or equivalent).
• Strong analytical, problem-solving, and organizational skills.
• Excellent communication, presentation, and stakeholder management capabilities.
• Assertive communication style with the ability to set direction and achieve results in a dynamic, changing environment.

Preferred Skills (Nice to Have):

• Experience in Financial Crime / AML (e.g., transaction monitoring and technology suppliers).
• Familiarity with transaction monitoring platforms such as Quantexa.
• Prior experience acting as a model validator or quantitative risk analyst.

If you are interested, or you know someone that could be, please reach out and we can arrange a time to speak?