Junior Analyst: Quantitative Risk Modelling & Validation at IDC

• Responsible for supporting quantitative analysis, balance sheet modelling efforts, and Funds Transfer Pricing (FTP) processes within the department.
• This role involves data analysis, model development, model validation, share price forecasting and back-testing of models, and monitoring of various quantitative risk models used for liquidity and market risk assessment and FTP.
• The Junior Analyst will work in a collaborative environment that encourages learning and professional growth, interacting with experienced professionals in the fields of risk management and finance.
• This position offers an excellent foundation for a career in quantitative risk, modelling, and FTP, with opportunities for advancement and skill development within the corporation.

Job Description

• Assist in the development of quantitative risk models used for market risk measurement, including Value at Risk (VaR), stress testing, scenario analysis, and FTP models.
• Participate in the validation process of quantitative models, ensuring accuracy, reliability, and compliance with regulatory requirements.
• Collect, clean, and analyse financial data from various sources to support modelling activities and FTP calculations.
• Conduct statistical analyses to identify trends, patterns, and anomalies in financial data, particularly focusing on interest rate risk and funding costs.
• Collaborate with senior managers to implement and enhance risk models and FTP methodologies, ensuring they are robust and aligned with industry standards.
• Support in analysis to support decision making on Equity Price risk management.
• Perform the calculation of the monthly Share Price forecasting for use in the strategic balance sheet modelling process.
• Support the calculation and implementation of FTP rates to accurately reflect the cost of funds and the credit risk associated with various business units.
• Assist in analysing the impact of FTP on overall profitability and performance metrics, providing insights to enhance decision-making.
• Conduct back testing of models to assess predictive performance and recalibrate models as necessary, including FTP models.
• Prepare detailed reports and presentations summarising quantitative analyses, model outcomes, FTP rates, and associated risks for ALCO Technical, ALCO and other stakeholders.
• Assist with ALCO process coordination.
• Participate in ALCO meetings including preparing and presenting ad-hoc reports as needed for the committee.
• Assist the Share Price Forecasting sub-committee with coordination and minute taking, if required.
• Preparation of monthly and quarterly risk reports and presentations for ALCO Technical and/or ALCO.
• Assist in communicating complex quantitative concepts, including FTP implications, to non-technical audiences.
• Work closely with cross-functional teams, including strategic business units, finance, risk management, and treasury, to ensure effective model implementation, FTP integration, and overall risk management practices.
• Support the development and improvement of internal processes related to quantitative analysis, risk management, and FTP.
• Stay updated on the latest industry trends, regulatory developments, and best practices in quantitative risk, modelling, and FTP.
• Engage in ongoing professional development to enhance technical skills and knowledge in quantitative finance and risk management.

Qualification and Experience

• Bachelor’s degree Actuarial Science, Mathematics, Statistics, Finance, Econometrics, Quantitative Risk or a related field.
• 2-5 years of experience in ALM, Financial Risk Management or Treasury
• Proficiency in statistical software and programming languages (e.g., R, Python, or similar).
• Basic understanding of financial markets, instruments, risk management concepts, and Funds Transfer Pricing mechanisms.
• Good understanding of asset-liability management, gained through hands-on experience or ALM training attendance
• Experience with quantitative modelling and validation in a financial services environment.
• Familiarity with best practice frameworks related to market risk and FTP methodologies.
• Knowledge of data analysis tools and techniques.

Deadline:19th Janaury,2026