Quantitative Business Analysis Team Lead (XVA and Limits)

Rand Merchant Bank; Johannesburg; On-site; ZAR 800,000 - 1,200,000; Full time

Job summary

Rand Merchant Bank seeks a Quantitative Business Analysis Team Lead in Johannesburg. This role involves leading quantitative business analysts, managing team performance, and ensuring compliance with risk standards. Ideal candidates have a post-graduate qualification in a quantitative field and experience in financial markets and team management.

Qualifications

• 3 to 5 years’ experience in a similar environment.
• 1 to 2 years at junior management level.
• Experience designing, testing, and configuring quantitative systems.

Responsibilities

• Lead analysis and implementation of business solutions.
• Collaborate with cross-functional teams to decipher requirements.
• Manage employee performance through goal setting and coaching.

Skills

SQL

Data analysis

Market risk knowledge

Credit risk knowledge

Business process modeling

Education

Post-graduate qualification in Mathematical Finance, Statistics, or another quantitative discipline

Job description

Job Title : Quantitative Business Analysis Team Lead (XVA and Limits)

Job Location : Gauteng, Johannesburg

Deadline : June 07, 2025

Job Description

RMB is a place where exceptional people create their own opportunities by challenging the conventional and driving sustainable impact.

United by our proud heritage, strong ethics, and philosophy of traditional values, we foster innovation through our people and culture.

Now is the time to imagine your next move with South Africa’s leading employer in Financial Services for 2025, where collective thinking unlocks opportunities for clients and society.

The purpose of the role is:

• Collaborate with cross-functional teams to decipher requirements and apply deep knowledge of quantitative methodologies within core businesses such as Trading, BRM, Risk, and Credit.
• Lead analysis, investigation, collaboration, implementation, optimization, and maintenance of business solutions.
• Be a hands-on leader for the Quantitative Business Analysts, including line management and delivery oversight.

Are you someone who can:

• Integrate understanding of investment banking, technology, business processes, and data analysis to provide optimal solutions.
• Engage with internal stakeholders (Trading, Risk Managers, XVA specialists, Quantitative specialists) to understand requirements and align objectives.
• Ensure timely responsiveness and resolution of production incidents and queries related to risk, pricing, workflows, integration, and reporting.
• Participate in testing to ensure solutions meet business requirements and specifications.
• Contribute to the design and implementation of scalable, resilient platform solutions.
• Liaise with external suppliers (e.g., CompatibL) for implementing new solutions according to an agreed roadmap.
• Build and manage a skilled team with succession planning.
• Manage employee performance through goal setting, coaching, and feedback.
• Optimize team operations via quarterly reviews and agile practices.
• Ensure compliance with statutory, legislative, and governance requirements.
• Build relationships for expectation management, knowledge sharing, and stakeholder engagement.
• Research and implement technological improvements and process streamlining.

You will be an ideal candidate if you have the following:

Qualifications

• Post-graduate qualification in Mathematical Finance, Statistics, or another quantitative discipline.

Experience and Skills

• 3 to 5 years’ experience in a similar environment, with 1 to 2 years at junior management level.
• Experience supporting Financial Markets systems and interfaces.
• Experience designing, testing, and configuring quantitative systems.
• Knowledge of Market and credit risk, XVAs (CVA, SA-CCR, KVA, SA-CVA, MVA, etc).
• Proficiency in SQL and data analysis.
• Knowledge of multi-asset classes and trade lifecycle.
• Business process modeling and design skills.
• Understanding of data models and data flow validation between systems.