What you'll be doing: Develop and enhance pricing and risk management solutions Build, test, and maintain quantitative models for pricing, scenario analysis, and financial forecasting Analyse large datasets to identify trends, risks, and opportunities Translate complex business requirements into technical solutions Design, test, and implement quantitative systems and applications Validate model outputs, data flows, and business processes Drive process improvements and automation initiatives Investigate and resolve system and production-related issues Collaborate with stakeholders across business, technology, and quantitative teams Contribute to innovative solutions that create measurable business value What we’re looking for: Degree in Mathematical Finance, Quantitative Finance, Mathematics, Statistics, Actuarial Science, Engineering, or a related quantitative discipline Postgraduate qualification advantageous Minimum 3–5 years of quantitative, risk, business analysis, or financial modelling experience Strong SQL and data analysis capability Experience with quantitative systems design, testing, and implementation Understanding of financial markets, pricing methodologies, and risk management concepts Exposure to business process modelling and systems analysis Knowledge of multiple asset classes and trade lifecycles is highly beneficial You’ll thrive in this role if you are: Naturally curious and analytical Passionate about financial markets and quantitative modelling A problem solver who enjoys tackling complex challenges Comfortable working with both technical and business stakeholders Driven by continuous learning and professional growth Motivated by innovation and delivering impactful solutions This is an excellent opportunity for a technically strong quantitative professional looking to take the next step in their career while working on challenging, high-impact projects. #J-18808-Ljbffr
Market Risk Analyst | Mathematical Finance | Risk & Pricing Modelling
COMMUNICATE FINANCE
randburg, randburg
Published 1 days ago
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