Overview
In this role you drive risk analytics and model monitoring, collaborating with Risk and Finance to align analytics with regulatory requirements. You will build and enhance monitoring packs for commercial banking models and present insights to senior stakeholders. You’ll apply Python, SQL and SAS to data analysis and support cross-team analytical initiatives. The position offers opportunities to grow in GCP and Looker-based solutions while strengthening governance and CRDIV compliance.
Pay / Benefits
- pension contribution up to 15%
- annual performance-related bonus
- share schemes including free shares
- discounted shopping
- 28 days’ holiday plus bank holidays
- wellbeing initiatives
Responsibilities
- Build and maintain Model Monitoring packs for commercial banking customers
- Use SAS, SQL and Python for data manipulation and analysis
- Collaborate with Risk and Finance partners to set analytical objectives and ensure regulatory alignment
- Mentor and coach junior colleagues
- Support monitoring and analytics across BCB and CIB models, including issue escalation to senior stakeholders
- Develop and apply Python, GCP and Looker skills to improve efficiency of monitoring and modelling
- Maintain knowledge of CRDIV model maintenance requirements and ensure governance compliance
- Collaborate with multidisciplinary teams to deliver analytical solutions
Key requirements
- Degree preferably in a numerate/statistical discipline
- Experience delivering predictive analytics in a regulatory or credit risk setting
- Understanding of statistical modelling (e.g., regression, decision trees)
- Proficient in Python, SQL and SAS
- Experience with GCP and Looker is advantageous
- Knowledge of Corporate models
- Willingness to apply training provided
- Stakeholder communication
- Mentoring and coaching
- Cross-functional collaboration
- Python
- SQL
- SAS
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