Head Modelling & Analytics position at Absa.| South Africa

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Absa Head Modelling & Analytics

Experience: Highly Experienced

Pattern: Full time

Country:

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Diploma

Sandton....South Africa

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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 Provide strategic direction, specialist expertise and support in the sourcing, reporting, and analysis of data for best practice funding and liquidity risk management and depositor insurance purposes. Design, build, maintain and optimise Treasury models and End User Developed Applications (EUDA) supporting funding and liquidity risk. Develop /optimise a robust cash-flow engine, assumptions and scenario frameworks using sound quantitative techniques in a control-based environment. Perform detailed back-testing, sensitivity analysis and ongoing performance monitoring to ensure models and EUDAs accurate, stable and fit for funding and liquidity risk management and depositor insurance reporting. Job Description Quantitative Analysis and Modelling: Develop/optimise and maintain Treasury cash flow engine and EUDAs to ensure accurate reporting, forecasting, and behavioural assumptions supporting funding and liquidity risk and depositor insurance reporting. Risk and Regulatory Analytics: Implement quantitative solutions to measure and monitor liquidity metrics and funding stability. Support production of regulatory measures through model/EUDA 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, controls 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. BCBS 239 / RDARR compliance: defining, maintaining and creating controls and processes ensuring compliance with control standards. 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. People Management and Leadership Develop, manage and support internal capability of a sustainable high performing team who will ensure the necessary resources are in place to achieve business strategy and objectives; while encouraging professional growth. Motivate team members through coaching and mentoring them to perform optimally around the vision and values, create a sense of urgency and excitement around the business and ensure that they strive to deliver optimally. 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: ALM Forecasting Classification Optimisation Statistics, probability theory Data analysis Programming Proficiency: Proficiency in programming languages such as Python and SAS. Experience in data manipulation, statistical analysis, and numerical computation. Familiarity with database querying languages (e.g., SQL) is a plus. Analytical/data visualisation Proficiency: Power BI and Qlikview / QlikSense experience. 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. Knowledge of liquidity management, and risk measurement methodologies is highly desirable. Qualification 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. Experience 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, and liquidity risk. Practical programming experience in Python and SAS, including building production-ready analytical tools and automated data processes. Power BI and Qlikview / QlikSense experience Education Bachelor`s Degrees and Advanced Diploma: Business, Commerce and management Studies (Required) Education Postgraduate Degrees and Professional Qualifications: Financial Sciences (Required) Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank. Absa Bank Limited reserves the right not to make an appointment to the post as advertised

Head Modelling & Analytics job opportunity at Absa.

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