Quantitative Business Analyst

Sanlam Financial Markets (SFM) is the business unit in Sanlam Group that is responsible for managing shareholder credit, market, and liquidity risks, developing balance-sheet enabled products, and developing solutions to optimize Sanlam's balance sheet(s) to generate shareholder value. SFM works closely with the Balance Sheet Management function of Sanlam to assist the Balance Sheet Management Function in its pursuit of optimising returns on the Sanlam balance sheet.

The primary purpose of this role is to bridge the gap between front office business requirements, quantitative analytics, and technology delivery within a Financial Markets environment. The Quantitative Business Analyst is responsible for eliciting, analysing and documenting complex business requirements while designing, validating and enhancing quantitative models, analytical solutions and decision-support frameworks.

The role combines advanced business analysis capabilities with quantitative modelling expertise to support front office trading, treasury, capital markets and investment operations. The incumbent will work closely with the business stakeholders to deliver high-quality analytical solutions that drive informed decision-making, operational efficiency and strategic outcomes.

The successful candidate will have strong Financial Markets experience and working knowledge of platforms such as Murex, Calypso, Front Arena and AWS

This role is ideally suited to a highly experienced quantitative professional who combines strong Business Analysis capabilities with deep Financial Markets expertise and practical experience across Murex, Calypso, Front Arena and AWS environments.

• Lead discovery workshops and stakeholder engagements to determine business requirements, expected outcomes and operational priorities.
• Analyse and document business, functional and non-functional requirements.
• Produce Business Requirement Specifications (BRS), Functional Requirement Specifications (FRS), user stories, use cases and process flows.
• Facilitate communication between front office stakeholders, quantitative teams and technology delivery teams.
• Model and frame business scenarios, workflows and future-state operating models.
• Ensure traceability of requirements throughout the project lifecycle.

• Design, develop, test and maintain financial models supporting trading, risk management, valuation and portfolio management activities.
• Perform advanced quantitative and statistical analysis to solve complex business and investment challenges.
• Apply predictive analytics, machine learning and optimisation techniques where applicable.
• Develop pricing, forecasting, risk and scenario analysis models.
• Conduct what-if analysis and scenario modelling to validate findings and support decision-making.
• Build analytical frameworks and quantitative solutions to support front office operations.
• Identify patterns, trends and opportunities through advanced data exploration and modelling.

• Assess available internal and external data sources and determine relevance to business objectives.
• Define data requirements and support data acquisition, integration and governance initiatives.
• Develop business metrics, dashboards and performance measures to monitor business and model effectiveness.
• Create analytical insights that improve commercial performance, operational efficiency and decision-making.
• Design experimental approaches to validate hypotheses and measure outcomes.
• Ensure data quality, integrity and compliance with data governance standards.

• Work closely with technology teams to support…