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To apply quantitative expertise to support in the design, development, and maintenance of the integrated suite of TCM models. Responsible to provide support in the execution of model builds and data analytics, ensuring all deliverables meet the rigorous standards of the Group Model Risk Framework. This role focuses on the practical implementation of modelling solutions across Economic and Regulatory capital, liquidity, and interest rate risk to enable data-driven financial management.
Type of Qualification: First Degree
Field of Study: Finance and Accounting, Information Studies, Information Technology, Mathematical Sciences, Quantitative Studies
Experience Required
Treasury Capital Management
Finance & Value Management
3-4 years
Experience in a financial services environment, specifically within a quantitative risk, treasury, or balance sheet management function to understand the practical application of financial metrics. Practical experience in statistical programming and data science using Python, R, or SQL to develop, test, and execute quantitative models.
3-4 years
Exposure to Treasury-specific domains such as Economic Capital, Liquidity Risk (LCR/NSFR), Capital Management (ICAAP), or Interest Rate Risk in the Banking Book (IRRBB) to ensure familiarity with regulatory modelling requirements. Experience in data engineering and ETL (Extract, Transform, Load) processes, including the ability to handle and cleanse large, unstructured datasets to ensure data integrity for modelling.
Technical Competencies:
Banking Process & Procedures
Data Analytics
Data Compliance
Data Quality
Financial Acumen
Financial Analysis
Planning, Forecasting and Budgeting
Quantitative Analysis
Statistical & Mathematical Analysis
Understanding GAAP
Employment type
Full-time
Work arrangement
No
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