We are seeking a skilled and motivated Quantitative Analyst to join our Equity & Hybrid Products team. You will work at the intersection of financial engineering and quantitative research, supporting pricing, risk management, and trading strategies for a wide range of equity derivatives and cross-asset (hybrid) products.
Key Accountabilities:
Develop and maintain pricing and risk models for equity derivatives and hybrid products (e.g., equity-interest rate, equity-FX structures).
Implement models in C++, Python, or proprietary libraries used by front-office desks.
Calibrate models to market data and perform quantitative analyses to support trading strategies.
Collaborate with traders, structurers, and risk managers to deliver robust analytical tools and pricing solutions.
Ensure model governance compliance, including documentation and validation support.
Contribute to innovation in pricing methodologies, numerical techniques, and model efficiency improvements.
Conduct scenario analysis and stress testing for complex structured products.
Essential Skills & Qualifications:
MSc/PhD in a quantitative field (e.g., Mathematics, Physics, Financial Engineering, Computer Science).
Strong programming skills (C++, Python or similar).
Deep understanding of stochastic calculus, numerical methods, and derivatives pricing.
Experience with equity derivatives (vanilla and exotics); hybrid product experience is a strong advantage.
Familiarity with market data sources (e.g., Bloomberg, Reuters) and calibration techniques.
Effective communication skills with ability to explain complex models to non-technical stakeholders.
Previous experience in a front-office quant role or risk/valuation team is preferred.
You may be assessed on the key critical skills relevant for this role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
This role is based in London.
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