Quantitative Developer/ Modeller


London
Contract
Negotiable
Development and Engineering
CR/586057_1774864163
Quantitative Developer/ Modeller

Role Title: Quant Developer / Modeller
Duration: 6-month contract
Location: London - Hybrid, 3 days per week onsite

About the Company
Our client is a well-established global financial institution recognised for its strong alignment between front-office trading,quantitative research and engineering teams. The firm places a clear emphasis on rigorous risk management, high-quality pricing infrastructure and pragmatic delivery to support complex derivatives activity across multiple asset classes.

Description
This hybrid role blends quant development with hands-on modelling. The successful candidate will work across pricing library enhancements, risk engines, model improvements and market data workflows, partnering closely with front office stakeholders and global quant teams.

Key Responsibilities:

  • Enhance and maintain the C++ pricing library while contributing to model improvements and validation-driven refinements.
  • Support risk engines, scenario calculations and market data transformation pipelines.
  • Develop Python-based tooling for prototyping, analysis and testing.
  • Collaborate with traders, FO quants and risk teams to deliver robust analytics and model changes.
  • Participate in intraday and end-of-day risk and P&L infrastructure enhancements.
  • Contribute to the platform's migration from C++ toward Rust.

Essential Experience

  • 6+ years in quant development or modelling within a front office-aligned team.
  • Strong C++ development background with willingness to work in Rust.
  • Solid modelling fundamentals and ability to contribute to both quant dev and quant research tasks.
  • Python for analytics, testing and workflow automation.
  • Proven FO interaction, strong communication and ability to work in a fast-paced environment.

Desirable

  • Understanding of equity derivative pricing models.
  • Familiarity with risk engines, market data workflows and distributed systems.
  • Strong cross-team collaboration skills.

FAQs

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