Quantitative Researcher - Equity Autocallables

Full-Time No home office possible

Quantitative Researcher – Equity Autocallables

London, United Kingdom

AI Search is looking to add a senior Quantitative Researcher to a London‑based hedge fund focused on Autocallable strategies. The role sits directly with the investment team and is centred on the modelling, pricing and risk analysis of equity exotics, with a particular emphasis on autocallables and other path‑dependent structures. This is a front‑office position, working day‑to‑day with traders on live positions, trade design and portfolio construction.

The successful candidate will develop a proprietary pricing and volatility framework for Autocallables, covering volatility surfaces, correlation, dividends and funding assumptions. They will be involved throughout the lifecycle of trades, from initial structuring and scenario analysis through to hedging, risk management and ongoing optimisation of the book. The focus is commercial and PnL‑driven rather than academic, with an emphasis on robustness, speed and a clear understanding of the key risk drivers in autocallable and other structured equity portfolios.

Responsibilities

Develop a proprietary pricing and volatility framework for Autocallables, covering volatility surfaces, correlation, dividends and funding assumptions.
Support the complete trade lifecycle from initial structuring and scenario analysis to hedging, risk management and optimisation of the book.
Work closely with traders to ensure models translate into commercial performance and PnL impact.

Qualifications

Experience in equity derivatives pricing with deep knowledge of autocallables (buy or sell side).
Strong quantitative background and ability to write production‑quality code in Python.
Comfortable working in a commercially focused, PnL‑driven environment and able to translate models into returns.
Motivation to shape a buy‑side structured equity strategy rather than support sell‑side flow.