Risk Model Management Specialist

Technologies we use

About the project

Your responsibilities

• Own the development and validation of transaction monitoring models, with a focus on documentation, review and governance
• Lead model governance activities within TMU, including validation assessments and implementing feedback from the second line of defence
• Define and carry out the approach to model development and experimental design
• Document model design and outcomes, working with the analytics team to capture assumptions, limitations and weaknesses accurately
• Support prototyping of tests and analytical methods hands-on
• Mentor 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 outcomes
• Work professionally with internal and external stakeholders

Our requirements

• Extensive experience in model risk management, model governance and model validation
• A strong background in data science, statistics and quantitative methods
• Experience in academic or technical writing, especially model documentation
• An advanced degree in a quantitative field such as Computer Science, Statistics, Mathematics or Actuarial Science
• Strong analytical and problem-solving skills
• Excellent communication, presentation and stakeholder management skills
• A structured, proactive way of working, with the ability to take initiative and work independently
• Confidence in setting direction and delivering results in a fast-changing environment
• Fluent English, spoken and written

Optional

• Experience in Financial Crime or AML, especially transaction monitoring
• Hands-on work with transaction monitoring platforms such as Quantexa
• Experience as a model validator or quantitative risk analyst
• A banking background

Benefits