Own the development, validation, and governance of transaction monitoring models within a Financial Crime Prevention / AML function.
The assignment combines model risk expertise with hands-on analytical work, driving model governance within the Transaction Monitoring Unit (TMU).
- Own the development and validation of transaction monitoring models, with a focus on model documentation, model review, and model governance
- Drive model governance activities within TMU, including validation assessments and implementation of 2nd line feedback
- Set and execute the direction for model development and experimental design, finding the right balance between analytical rigor and practical constraints
- Document model design and outcomes, iterating with the analytics team to ensure accuracy, completeness and analysis of model assumptions, limitations and weaknesses
- Provide hands-on support for prototyping tests and analytical methodologies
- 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)
- Represent the organisation with a high degree of professionalism in collaboration with external and internal stakeholders
- Extensive experience in model risk management, model governance, and validation
- Strong background in data science, statistics and quantitative methods
- Experience in academic or technical writing, particularly in the context of model documentation
- Advanced degree in a quantitative field, e.g. Computer Science, Actuarial Science, Statistics, Mathematics, or equivalent
- Strong analytical and problem-solving skills
- Excellent communication, presentation and stakeholder management skills
- Organised, structured and professional, able to take initiative and work proactively under own direction
- Assertive communication with the ability to set direction and achieve results in a dynamic, changing environment