Responsibilities
- Deliver project-based credit risk analytics and end-to-end model development within established timelines and quality standards.
- Collaborate with business stakeholders to translate requirements into detailed analytical specifications and project deliverables.
- Prepare, analyze, and reconcile data from various sources to generate actionable portfolio insights and support model development.
- Build challenger and benchmark models to validate performance and enhance confidence in primary model outcomes.
- Execute comprehensive UAT routines, including test data generation, defect management, and key control check documentation.
- Maintain complete project documentation to support auditability, governance standards, and smooth operational handovers.
- Proven project-based experience in credit risk analytics or model development within financial services.
- Strong proficiency in data analytics using SQL, Excel, and programming languages such as Python, R, or SAS.
- Solid understanding of core credit risk concepts including PD, LGD, EAD, ECL, and portfolio performance metrics.
- Hands-on experience leading and executing UAT for risk, data, or reporting system changes.
- Track record of engaging effectively with cross-functional teams including Credit Risk, Finance, and IT.
- Familiarity with regulatory risk modeling frameworks and Agile project management tools like Jira or Confluence.
- Immediately available will be a big advantage.