Risk Model Management Specialist

Key Responsibilities:

• 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.

Required Skills and Experience:

• 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.

Nice to Have:

• Experience in Financial Crime/AML, e.g. transaction monitoring and technology suppliers.
• Transaction monitoring platforms such as Quantexa.
• Experience as a model validator or quantitative risk analyst.