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Equity Derivatives Quant Developer

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Onsite

Equity Derivatives Quant Developer

Experis

Equity Derivatives Quant Developer

Skills

PythonData Analysis

17 days ago

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Important information


Contract type:

Freelance / Contract

Location:

London, UK

Work mode:

Onsite

Published on:

5 October 2026

What they need


Equity Derivatives Quant Developer

Location - London (Hybrid 3 days on site)

Length - Initial 6 month contract with possible extension

Rate - up to £1100 Umbrella

Role Description

Equity Derivatives Quants (a division of Global Banking and Markets) are looking for a C++/Python developer specialising in Structured Equity Derivatives. The candidate will be expected to:

  • Assist the design and implementation of pricing, risk and P&L infrastructure surrounding the core pricing library

  • Assist the Quantitative Modellers to develop the core pricing library

  • Develop the Quantiative tooling required to support the platform

The role will cover the following agendas:

  • Delivery of the calculation infrastructure required for FRTB IMA regulatatory reporting

  • Design and development of end-of-day risk and P&L calculations allowing the retirement of the legacy vendor platform

  • Design and development of intraday risk and P&L calculations

  • Design and development of market data marking pipelines

The candidate should expect to have day-to-day interactions with the trading desk, other quants, the Risk and Finance departments, and technology teams.

Essential Certifications

  • Minimum 5 years working as a Quantitative Analyst developing models in quantitative finance, IT development, or a trading environment

  • A degree in mathematical finance, science or maths from a top tier university

  • Knowledge of the standard pricing models used in the investment banking industry

  • Five or more years C++ experience (preferably using Visual Studio 2017)

  • Five or more years Python experience required

  • Test-drive development and automated CI/CD pipelines

Desirable Knowledge, Skills & Experience

  • Background in stochastic processes, probability and numerical analysis. Physics, Engineering or similar subjects is desirable, but not strictly required.

  • Experience of data analysis

  • Knowledge of the main instruments used in Equities and Equity Derivatives

  • Knowledge of instrument pricing, sensitivity calculations, P&L prediction, P&L explain, VaR, ES and other risk measures.

  • Knowledge of distributed computing and serialisation techniques

  • Experience in cross-platform C++ development

  • Good knowledge of Excel.

  • Ability to work in fast-paced environment with proven ability to handle multiple outputs at one time

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