Quantitative Analyst

Absa Group; Sandton; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading financial institution in South Africa is looking for a highly analytical Quantitative Analyst to join their Corporate & Investment Banking team. This role involves applying advanced quantitative techniques for pricing strategies and portfolio optimization. The ideal candidate will have a degree in a quantitative discipline, strong financial modeling skills, and at least 2-3 years of experience in a related banking or financial services role. This opportunity combines complex analytical work with stakeholder engagement to drive data-driven decision-making.

Qualifications

• Minimum 2-3 years in quantitative analysis, financial modeling or risk analytics within banking.
• Solid understanding of banking products, risk frameworks and regulatory requirements.
• Ability to translate complex data into actionable insights.

Responsibilities

• Design and enhance quantitative pricing models across CIB.
• Monitor risk-adjusted performance metrics and financial resource utilization.
• Communicate complex quantitative findings to non-technical stakeholders.

Skills

Quantitative and analytical ability

Financial modeling

Data analytics

Programming skills (Python, R, SQL)

Communication and presentation skills

Problem-solving approach

Education

Degree in Applied Mathematics, Actuarial Science, Econometrics, Quantitative Finance, or related discipline

Honours/Masters; CFA/FRM or progress toward these certifications

Tools

Python

R

Power BI

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

We’re seeking a highly analytical and detail-oriented Quantitative Analyst to join our Corporate & Investment Banking (CIB) team. This role is critical in applying advanced quantitative techniques to pricing strategies, portfolio optimization, and structuring activities across CIB and Wholesale Lending (Pan-ARO), ensuring alignment with risk-adjusted return objectives.

Job Description

ey Responsibilities

Pricing Strategy & Quantitative Advisory

• Design, implement, and enhance quantitative pricing models across CIB and Business Banking.
• Maintain and refine pricing hurdles using statistical and optimization techniques, ensuring regulatory compliance.
• Provide data-driven insights and advisory on pricing and regulatory matters.
• Apply quantitative methods to loan pricing and structuring decisions, leveraging advanced analytics for optimal outcomes.
• Develop and validate predictive models supporting portfolio management and risk-adjusted performance measures.

Portfolio Management & Structuring

• Monitor and analyze risk-adjusted performance metrics and financial resource utilization across portfolios.
• Deliver quantitative insights to the Strategic Portfolio Management Committee and related forums.
• Utilize tools such as Python, R, and Power BI for advanced analytics, scenario modeling, and visualization.
• Support structuring activities, including capital optimization and risk transfer strategies, through robust quantitative frameworks.

Stakeholder Engagement

• Communicate complex quantitative findings clearly to non-technical stakeholders.
• Collaborate with cross-functional teams to ensure alignment of pricing and portfolio objectives.

Skills & Competencies

• Strong quantitative and analytical ability, with expertise in statistical modeling and optimization.
• Advanced financial modeling, data analytics, and programming skills (Python, R, SQL).
• Solid understanding of banking products, risk frameworks, and regulatory requirements.
• Ability to translate complex data into actionable insights.
• Excellent communication and presentation skills.
• Commercially minded with a problem-solving approach.

Qualifications & Experience

• Minimum: Degree in Applied Mathematics, Actuarial Science, Econometrics, Quantitative Finance, or related discipline.
• Preferred: Honours/Masters; CFA/FRM or progress toward these certifications.
• Experience: 2–3 years in quantitative analysis, financial modeling, risk or portfolio analytics within banking or financial services.

Education

Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies (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