Senior Specialist: Quantitative Analyst

Sandtonsenior

Quantitative AnalystData & AI

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Quick Summary

Requirements Summary

Produce clear technical documentation covering model methodology, assumptions and limitations. Assist with model validation exercises, benchmarking, remediation actions and audit queries.

Technical Tools

Quantitative AnalystData & AI

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Absa is committed to creating an inclusive workplace where everyone can thrive. We are an equal opportunity employer and welcome applications from suitably qualified individuals from diverse backgrounds. In support of our Diversity, Equity, Inclusion and Belonging (DEIB) commitments and Employment Equity objectives, preference may be given to candidates from underrepresented designated groups, including persons with disabilities. We encourage applicants who may require reasonable accommodation during the recruitment process to let us know so that appropriate support can be provided.

Job Summary

Job Description Summary
Design, build and maintain Treasury models supporting liquidity risk, interest rate risk in the banking book (IRRBB), funds transfer pricing (FTP), behavioural modelling and balance sheet forecasting. Develop robust cash-flow engines and scenario frameworks using sound quantitative techniques. Perform detailed back-testing, sensitivity analysis and ongoing performance monitoring to ensure model accuracy and stability.

Extract, transform and analyse large Treasury datasets to support modelling and reporting requirements. Build scalable, well-documented code and automated pipelines to improve model efficiency, reproducibility and governance. Enhance existing tools through optimisation, refactoring and improved data validation controls.

Produce clear technical documentation covering model methodology, assumptions and limitations. Assist with model validation exercises, benchmarking, remediation actions and audit queries. Ensure development practices align with internal model risk standards and regulatory expectations.

Work closely with ALM, Funding, Risk and Finance teams to translate business requirements into quantitative solutions. Provide technical explanations of model outputs and assumptions to both quantitative and non-technical stakeholders.

Stay current with industry developments in Treasury modelling, balance sheet analytics and financial risk measurement. Proactively identify opportunities to enhance modelling approaches, improve computational performance and strengthen analytical capabilities.

Requirements

~1 min read

Bachelor’s or Honours degree in Quantitative Analytics, Financial Engineering, Mathematics, Statistics, Actuarial Science, Computer/ Data Science or a related quantitative or model development discipline.

3–5 years’ experience in quantitative modelling, Model Development or Treasury / ALM within a banking or financial services environment.
Proven experience developing or maintaining forecasting, optimisation or behavioural models, preferably related to balance sheet management, liquidity or interest rate risk.
Practical programming experience in Python and SAS, including building production-ready analytical tools and automated data processes.

Education