Analyst: Quantitative Risk Modelling & Validation

SUMMARY:

Gijima Staffing Solutions is recruiting on behalf of a client for an Analyst: Quantitative Risk Modelling & Validation to join a dynamic Group Risk environment focused on Asset and Liability Management (ALM), Market Risk, and Funds Transfer Pricing (FTP).
This role is ideal for a curious, analytical professional who enjoys working with data, models, and financial risk concepts, and who is looking to grow their career in quantitative risk management. You’ll work closely with experienced risk, finance, and treasury professionals in a collaborative environment that supports learning, innovation, and professional development.

Division: Group Risk | ALM and Market Risk

POSITION INFO:

What You’ll Be Doing

Quantitative Modelling & Analysis

• Support the development and enhancement of quantitative models used for market and liquidity risk measurement, including Value at Risk (VaR), stress testing, scenario analysis, and FTP models.
• Analyse financial data to identify trends, risks, and insights, with a focus on interest rate risk, funding costs, and equity price risk.
• Contribute to quantitative analysis that supports strategic and risk-related decision-making.

Model Validation & Back-Testing

• Participate in model validation activities to ensure models are robust, reliable, and aligned with regulatory and internal standards.
• Perform back-testing and performance assessments of models, including FTP models, and assist with recalibration where required.

Funds Transfer Pricing (FTP)

• Support the calculation and implementation of FTP rates to ensure accurate reflection of funding costs and risk across business units.
• Analyse the impact of FTP methodologies on profitability and performance, providing insights to enhance decision-making.

Share Price Forecasting

• Perform monthly share price forecasting to support strategic balance sheet modelling.
• Assist with coordination activities related to share price forecasting governance forums, where required.

Data, Reporting & Communication

• Collect, clean, and analyse financial data from multiple sources to support modelling and reporting activities.
• Prepare clear, well-structured reports and presentations for risk committees and senior stakeholders.
• Communicate complex quantitative concepts in a clear and accessible way to both technical and non-technical audiences.

Governance, Collaboration & Development

• Support risk committee processes, including preparation of ad-hoc analysis and reports.
• Work closely with cross-functional teams across Risk, Finance, Treasury, and Business Units to support effective model implementation and risk management practices.
• Contribute to continuous improvement of internal processes, methodologies, and documentation.
• Stay informed on industry trends, regulatory developments, and best practices in quantitative risk and modelling.
• Actively engage in ongoing learning and professional development.

What We’re Looking For

Qualifications

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Finance, Econometrics, Quantitative Risk, or a related field.

Experience & Knowledge

• 4–6 years’ experience in Asset and Liability Management (ALM), Financial Risk Management, Treasury, or a related quantitative risk role.
• Experience with quantitative modelling and/or model validation within a financial services environment.
• Good understanding of financial markets, risk management principles, and Funds Transfer Pricing concepts.
• Practical exposure to asset-liability management principles through experience or formal training.

Technical Skills

• Proficiency in statistical or programming tools such as Python, R, or similar.
• Strong data analysis skills and experience working with financial datasets.
• Advanced MS Excel skills and working knowledge of MS PowerPoint.

Personal Attributes

• Strong analytical and problem-solving skills with high attention to detail.
• Excellent written and verbal communication skills.
• Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
• Self-motivated, proactive, and eager to learn.
• Strong planning and organisational skills.

Why Apply?