Senior Specialist: Quantitative Analyst

Absa; Sandton; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

Absa is seeking a quantified analytics professional to design and maintain treasury models for liquidity risk, IRRBB and balance sheet forecasting. You will develop forecasting and behavioural models to optimise funding mix, implement robust back-testing and sensitivity analyses, and automate data pipelines for governance.

Work with ALM, Funding, Risk and Finance teams to translate business needs into rigorous quantitative solutions while staying current with regulatory expectations and industry

Qualifications

• Strong statistical modelling and data science background with model development experience.
• Experience in forecasting, optimisation and statistics with data analysis.
• Ability to translate complex quantitative concepts to stakeholders.

Responsibilities

• Design, build and maintain Treasury models for liquidity risk, IRRBB and balance sheet forecasting.
• Develop forecasting, optimisation and behavioural models for pricing and funding profiles.
• Perform back-testing, sensitivity analysis and ongoing performance monitoring.
• Create scalable data pipelines and automated processes for model governance.
• Collaborate with ALM, Funding, Risk and Finance to translate requirements into quantitative solutions.

Skills

Statistical Modelling

Data Science

Forecasting

Optimization

Probability Theory

Data Analysis

Tools

SAS

Python

R

MATLAB

SQL

Job description

Empowering Africa's tomorrow, together...one story at a time.

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.

Job 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.

Quantitative Analysis and Modelling

Develop and maintain Treasury forecasting, optimisation and behavioural models supporting pricing, balance sheet planning, liquidity risk and interest rate risk analytics. Build statistical forecasting frameworks for cashflows and funding profiles under multiple rate scenarios. Design optimisation models to improve funding mix and balance sheet outcomes within regulatory and risk constraints. Implement behavioural models for deposits and lending products, including prepayment, decay and repricing dynamics, using data-driven calibration and back-testing.

Risk and Regulatory Analytics

Implement quantitative solutions to measure and monitor liquidity metrics, funding stability and interest rate sensitivity. Support production of regulatory measures through model development, data analysis and automation of calculation processes. Conduct stress testing and scenario modelling to assess the impact of market movements and balance sheet changes.

Data Engineering and Automation

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.

Model Governance and Validation Support

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.

Stakeholder Collaboration

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.

Continuous Improvement and Technical Innovation

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.

Required Skills

Crucial skillset: A strong statistical modelling/ data science background preferably with model development experience in the area of: Forecasting Classification Optimisation Statistics, probability theory Data analysis

Programming Proficiency: Proficiency in programming languages such as SAS, Python, R, MATLAB, or similar languages. Experience in data manipulation, statistical analysis, and numerical computation using these languages. Familiarity with database querying languages (e.g., "SQL") is a plus.

Communication and Collaboration: Excellent verbal and written communication skills with the ability to explain complex quantitative concepts to both technical and non-technical stakeholders. Demonstrated ability to collaborate effectively with cross-functional teams and present findings in a clear and concise manner.

Bonus Competencies

A good understanding of econometrics

Regulatory Awareness: Familiarity with regulatory requirements related to financial modeling in banking, such as Basel III, IFRS 9, and stress testing frameworks. Understanding of risk management concepts and regulatory compliance within the banking industry.

Financial Market Knowledge: Strong understanding of financial markets, instruments, and products, particularly those related to banking Treasury activities. Kno

Absa Equal Opportunity

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.