Senior Quantitative Analyst

Company: Point One – Hedge Fund Talent
Apply for the Senior Quantitative Analyst
Location: London
Job Description:

Senior Quantitative Analyst – Exotics (Autocallables & Structured Equity)

Overview

A leading global hedge fund is looking to hire a Senior Quantitative Analyst to build and scale its exotics pricing capability, with a particular focus on autocallables and structured equity derivatives.

This is a high‑impact, front‑office aligned role where you will operate as a strategic partner to trading. You will combine deep quantitative expertise with production engineering to enhance pricing, risk, and model infrastructure across a growing structured products platform.

Role Responsibilities

  • Lead the development and enhancement of pricing models for autocallables and complex path‑dependent exotics
  • Drive advances in model frameworks including local/stochastic volatility, correlation, and hybrid approaches
  • Design robust calibration processes, scenario analysis, and P&L attribution frameworks
  • Partner closely with Trading to support structured products growth and improve risk‑taking decisions
  • Conduct deep historical backtesting to inform model development and trading strategy
  • Build and maintain production‑grade pricing libraries in C++, alongside research tooling in Python
  • Implement advanced numerical methods (Monte Carlo, PDEs, adjoint techniques, tree methods)
  • Mentor junior quants and elevate modelling standards across the team
  • Contribute to model governance, validation, and best‑in‑class quantitative practices

Requirements

  • 8–15+ years’ experience within a Tier 1 investment bank or leading quantitative trading environment
  • PhD or MSc in Mathematics, Physics, Financial Engineering, or a related quantitative discipline
  • Strong grounding in stochastic calculus and numerical methods
  • Autocallable pricing, hedging, and risk management
  • Multi‑asset and correlation modelling
  • Volatility surface construction and calibration
  • Monte Carlo simulation and PDE‑based methods
  • Strong experience working directly with trading desks in a high‑performance, front‑office setting
  • Proven track record in model validation, governance, and risk frameworks
  • Exceptional problem‑solving ability with strong commercial judgement

For more information contact:

Graham Murphy – graham@pointonetalent.com

Thomas Hennelly – thomas@pointonetalent.com

Posted: May 23rd, 2026