Quant Strat - Equity Volatility
Overview
A leading financial institution is seeking a Quantitative Strategist to join its Equity Volatility team. This front‑office aligned role focuses on the development, optimisation, and continuous enhancement of analytical tools, pricing components, and volatility models used by traders and quantitative teams. It is a hands‑on technical position requiring strong programming ability, problem‑solving skills, and an interest in equity derivatives markets.
Key Responsibilities
- Develop and enhance quantitative tools supporting equity volatility trading and risk management.
- Build production‑quality code for pricing, analytics, data processing, and workflow automation.
- Collaborate closely with traders, quants and technology teams to deliver high‑impact solutions.
- Maintain and improve volatility surfaces, pricing models, calibration logic and relevant analytics.
- Analyse model behaviour, investigate discrepancies, and contribute to performance improvements.
- Support trading desks with technical insights, scenario analysis, PnL investigations, and model usage.
- Participate in ongoing platform and library enhancements across the quantitative stack.
- Contribute to strategic initiatives relating to analytics, volatility modelling or desk‑level optimisation.
Technical Environment
The role involves close interaction with quantitative researchers and developers within a fast‑paced, front‑office environment. Strong programming experience is essential. The technical stack includes:
- C# (strongly required and highly important for development tasks)
- C++ and/or Python (valued for analytics and tooling)
- Familiarity with numerical methods, data structures, optimisation and performance‑sensitive code
- Exposure to equity derivatives, Greeks, volatility surfaces or structured products is beneficial
Working Environment
This position is fully on‑site and involves daily interaction with trading teams. The environment rewards autonomy, strong technical ownership, and the ability to build robust solutions in a high‑pressure, real‑time setting. You will be part of a team that values clean code, collaboration and continuous improvement across the quantitative platform.
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