About this role

Provide specialist analytical and technical support in the implementation and integration of credit risk models.
Analyze model requirements, prepare and validate data, and develop implementation code.
Ensure compliance with internal governance frameworks and regulatory requirements.
Conduct data quality assessments and testing to ensure data fitness for modelling purposes.
Develop and test model implementation code using SAS, Python, and/or SQL.
Maintain and update regulatory reporting processes related to implemented models.
Collaborate with model owners, developers, validators, and regulatory stakeholders.

Bachelor’s degree in Statistics, Mathematics, Computer Science, Actuarial Science, or a related quantitative field.
Minimum 3 years’ experience in model development, data analysis, or model implementation within banking or financial services.
Hands‑on experience with Base SAS, SAS Enterprise Guide, SAS Macros, and SAS SQL.
Exposure to regulatory capital and/or IFRS 9 impairment models is advantageous.
Experience supporting regulatory reporting and working with multiple stakeholders preferred.

Modelling Data and Implementation Analyst – AVP

Key skills