Front Office Pricing Modelling Quant - Rates Volatility

Qube Research & TechnologiesLondonJob.boközzétéve: 2025. 11. 19.
Kötelező:Junior

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

You will work within a quantitative development function responsible for building QRT’s derivatives pricing library, with a particular focus on Rates Volatility. This is a front office role working closely with Traders and Quantitative Researchers across the full model lifecycle, from research and calibration through to implementation, testing and production integration.

Your future role within QRT

Design and develop Rates Volatility models within QRT’s derivatives pricing library

Build and implement pricing models covering vanilla through exotic Rates products, including swaptions, Bermudan swaptions, caps and floors, and CMS

Research, prototype and calibrate models including SABR, LGM and Cheyette

Apply numerical methods including Monte Carlo and PDE techniques to pricing and model development

Contribute to model documentation, validation and test coverage

Collaborate with Traders and Quantitative Researchers on model development and trading requirements

Work with technology and risk stakeholders to integrate models into production pricing infrastructure

Your present skillset

10 to 15 years of experience as a Front Office Pricing Quant, with deep expertise in Rates Volatility

Strong experience pricing Rates products across vanilla and exotic structures

Experience with swaptions, including Bermudans, caps and floors, and CMS

Strong knowledge of Rates Volatility models including SABR, LGM and Cheyette

Experience applying Monte Carlo and PDE methods to derivatives pricing

Strong understanding of derivatives pricing theory and stochastic processes

Proven experience working directly with Traders on model development and calibration

Advanced degree in Mathematics, Physics, Engineering, Computer Science or another quantitative discipline

Strong C++ development skills, with knowledge of modern C++ beneficial

Experience with algorithmic adjoint differentiation is beneficial

Strong communication skills and a pragmatic, collaborative approach

Willingness to mentor junior colleagues and contribute to knowledge sharing

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. #LI-DNI