Quantitative Risk Analyst

Role Overview

• Instrument modelling and risk
• Model new and existing instruments in the risk system, ensuring correct pricing, cash-flow representation, attribution and sensitivity behaviour across the relevant valuation and capital bases.
• Validate model outputs against independent benchmarks; investigate and resolve discrepancies between front-office, risk and finance views.
• Maintain and extend the quantitative platform the team relies on — curve construction, sensitivities, scenarios and stress testing.
• Monitor and oversee production of risk and attribution reporting from risk system.
• Be a part of the team formulating and operationalising investment, hedging and balance-sheet strategies — taking a proposal from analytical concept through to executable trade lists and ongoing monitoring.
• Quantify the impact of proposed strategies across the relevant economic, accounting and regulatory metrics, and articulate the trade-offs clearly to non-quantitative stakeholders.
• Assist with production of governance papers and supporting analysis for the committees that approve strategy.
• Identify and automate repetitive analytical and reporting processes across the team, with a bias for reproducibility and auditability.
• Build and maintain pragmatic tooling (Python, SQL, BI tools) that leverages existing platforms rather than duplicating them.
• Improve the efficiency of the team's standing analytical workflows — pricing, monitoring, attribution, scenario production.
• Work across a broad set of stakeholders — investments, actuarial, finance, risk and IT — to deliver against Group objectives.
• Operate effectively in a dynamic environment: surface problems early, frame them clearly and drive them to resolution.
• Contribute to a culture of technical rigour, constructive challenge and well-documented analysis.
• Act as subject matter expert in an area of technology, policy, regulation, or operational management for the team.
• Maintain relevant external accreditations and a current understanding of evolving regulatory requirements and industry best practice.
• Build and continuously deepen capability in emerging technologies, including AI and advanced analytics, with a focus on practical application within quantitative modelling, automation, and decision support.

Requirements

• Postgraduate degree in quantitative finance, financial engineering, mathematics, statistics, actuarial science or a closely related discipline.
• Minimum 5 years' experience in a quantitative role within markets, investments, treasury, risk, ALM or a related function.
• Strong working knowledge of financial markets mathematics: curves, sensitivities and the pricing of vanilla derivatives across at least one major asset class.
• Exposure to industry risk and pricing systems (e.g. Murex, Calypso, Algorithmics, Prophet, RiskAgility, or equivalent).
• Experience in a bank, asset manager, hedge fund, insurer or pension fund — quantitative skills travel; the institutional setting is secondary.
• Familiarity with regulatory or accounting frameworks such as SAM, Basel, IFRS 17 or IFRS 9.
• Knowledge of the South African rates and credit markets, including the JIBAR-to-ZARONIA transition.
• CFA, FRM, CQF, or progress toward Fellowship of an actuarial body.
• Demonstrable programming ability — Python is preferred; experience with VBA, SQL or comparable tools is expected.

Tech Stack

• Python
• SQL
• VBA

Benefits

• Preference will be given to candidates with disabilities.