Our client is a leading player in the financial services industry, committed to innovation and robust risk management practices. They are seeking a Model Validation Analyst to strengthen their analytics and decision science team. This role offers exposure to a wide range of modelling areas - from credit risk and capital to fraud detection and marketing - and the opportunity to work closely with senior stakeholders.
Youll be responsible for end-to-end model validations, building challenger models, and providing independent assurance that business-critical models are both accurate and compliant. This is your chance to combine technical expertise with meaningful impact in a highly dynamic environment.
Key Responsibilities :
- Conduct end-to-end validations of models across credit risk, finance, and fraud domains.
- Build and test challenger models to ensure robustness and accuracy of existing models.
- Analyze and interpret data for predictive modelling, scorecard development, and monitoring.
- Provide technical challenge and assurance to modelling teams, ensuring best practice and compliance with governance standards.
- Collaborate with technical and business stakeholders to influence decision-making and outcomes.
Job Experience and Skills Required :
Minimum of a Degree in Mathematics, Statistics, Actuarial Science, or Data Science. Honours preferred.3+ years proven experience in scorecard building, including credit risk application / behavior models or marketing scorecards.Data mining and predictive modelling expertise.Strong analytical and problem-solving ability, with attention to detail.Knowledge of the full credit lifecycle.Ability to engage effectively across technical and non-technical teams.Apply now!