Risk Methodology (Model Developer) - Vice President

About the role

The Group Strategic Analytics (GSA) - Risk Methodology Team is responsible for cutting-edge modeling methods and technology that transform the way we work. We are seeking a Risk Methodology Modeler to support the state-of-the-art model development practices for balance sheet and revenue projections.

Responsibilities

• Develop, document, implement, and maintain balance sheet and revenue (BPPNR) forecasting models and analytical tools across Investment, Corporate, and Private Banking.
• Identify key risk drivers and model relationships between portfolio performance and macroeconomic variables using statistical techniques and data analytics.
• Partner with model owners and users to understand business expectations and upcoming changes, and incorporate feedback in a timely manner.
• Support model reviews with Model Risk Management (MoRM) and Group Audit, including ongoing performance monitoring and remediation of findings.
• Support stress testing cycles end-to-end, from input collection and quality checks through sensitivity analysis, risk driver attribution, and results explanation.
• Present model methodologies and projection results to senior management and regulatory stakeholders as needed.

Requirements

• Demonstrated quantitative skills, including hands-on experience with time series analysis and forecasting models (BPPNR experience preferred).
• Working knowledge of banking and trading products, and familiarity with stress testing and capital planning frameworks.
• Proficiency in Python and R for data analysis, statistical modeling, and production-quality coding.
• Strong written and spoken communication skills, with the ability to present complex analyses to technical and non-technical stakeholders.
• Master’s degree (or higher) in a quantitative field such as Mathematics, Finance, Economics, Statistics, or Computer Science.

Skills

• A self-starter with intellectual curiosity and strong critical thinking skills.
• Experience applying AI tools and machine learning techniques in analytics or modeling processes.
• A continuous-improvement mindset, with a focus on improving model performance and operational excellence.
• Familiarity with asset-liability management (ALM) principles.
• Familiarity with accounting frameworks (e.g., IFRS, US GAAP) and hedge accounting concepts.

Benefits

You will receive a competitive compensation package including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits. Educational resources, matching gifts and volunteer programs are also available.