Quant Developer

Quant Developer

Posted 3 days ago by 1756615042

£190,000 Per year
Undetermined
Onsite
London

Summary: The Quant Developer role at McGregor Boyall involves working with a leading hedge fund's Macro Trading Team, focusing on Equity Volatility. The position requires developing advanced volatility implementations and modernizing C++ code while building real-time P&L attribution systems. Candidates will blend quantitative research with engineering to design frameworks for backtesting and calibration algorithms. The role mandates four days of onsite work in Central London.

Key Responsibilities:

  • Develop sophisticated local and stochastic volatility implementations.
  • Spearhead the C++17 to C++20 modernization initiative.
  • Build real-time P&L attribution systems and risk engines.
  • Design macro time series frameworks for backtesting.
  • Implement calibration algorithms for exotic products.

Key Skills:

  • Excellent C++ programming skills with modern versions of the language.
  • Strong Python programming ability.
  • Prior experience as a quant developer/researcher at an Investment Bank or Hedge Fund.
  • Expert-level understanding of Equity Options/Volatility Index.
  • Masters degree or higher (nice to have).
  • Experience in listed and OTC markets (nice to have).
  • Current work in a team covering Macro trading (nice to have).

Salary (Rate): £190000 per annum

City: London

Country: United Kingdom

Working Arrangements: on-site

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer: 454894JT_1755788719
  • £140000 - £190000 per annum + bonus + benefits
  • London
  • Permanent

C++, Python, Equity Volatility, Macro, Pricing Models, Quant Research

McGregor Boyall are partnered with a leading hedge fund expanding their Macro Trading Team which a focus on Equity Volatility.

The role centers on developing sophisticated local and stochastic volatility implementations while spearheading their C++17 to C++20 modernization initiative. You'd be building real-time P&L attribution systems and risk engines that directly support portfolio managers trading complex equity derivatives and volatility indices.

Blend of cutting-edge quantitative research with production-grade engineering - you'd be designing macro time series frameworks for backtesting while implementing calibration algorithms for exotic products.

This role requires 4 days onsite in Central London.

Required Skills:

- Excellent C++ programming skills - you will be working on modern versions of the language producing clean code

- Strong Python programming ability

- Prior experience as a quant developer/ researcher working at either a leading Investment Bank or Hedge Fund

- Expert-level understanding of Equity Options/ Volatility Index

Nice to have:

- Masters degree or higher

- Listed and OTC markets experience

- Currently working in a team covering Macro trading

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.