Front Office Pricing Modelling Quant

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📍 London

About this role

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 join the team responsible for building QRT’s next-generation derivatives pricing library. This is a front-office quantitative development role working closely with traders and researchers. The scope includes full-lifecycle model development: from research and prototyping to implementation, testing, and production integration. You’ll also collaborate with risk and technology teams to integrate the library into broader trading and pricing infrastructure.

 

Your future role within QRT

  • Contribute to the design and development of a new in-house derivatives pricing library

  • Build and implement pricing models across all asset classes, ranging from vanilla to exotic products

  • Prototype new models and contribute to their documentation, validation, and test coverage

  • Collaborate with trading and research teams to support backtesting and live strategy deployment

  • Work with risk and technology stakeholders to integrate models into real-time pricing systems and market data pipelines

 

Your present skillset

  • 10–15 years of experience as a front-office pricing quant, with a strong focus on at least 2 assets classes within Rate, FX, Commodity, Equity

  • Proven experience working closely with traders on model design and calibration

  • Advanced degree (Master’s or PhD) in a quantitative field (e.g. Mathematics, Physics, Engineering, Computer Science)

  • Strong understanding of derivatives pricing theory and stochastic processes

  • Proficient in C++; familiarity with modern standards (C++17/20) is a plus

  • Effective communication skills and a pragmatic, collaborative approach to problem-solving

  • Willingness to mentor junior colleagues and contribute to team 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

Frequently Asked Questions

Is the salary disclosed for the Front Office Pricing Modelling Quant position at quberesearchandtechnologies?
The salary for this Front Office Pricing Modelling Quant role at quberesearchandtechnologies is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Front Office Pricing Modelling Quant position at quberesearchandtechnologies located?
This Front Office Pricing Modelling Quant role at quberesearchandtechnologies is based in London. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Front Office Pricing Modelling Quant at quberesearchandtechnologies belong to?
This Front Office Pricing Modelling Quant position is part of the MF-MAPS department at quberesearchandtechnologies. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Front Office Pricing Modelling Quant position at quberesearchandtechnologies?
Click the "Apply Now" button on this page. You will be redirected to quberesearchandtechnologies's official application portal hosted on greenhouse where you can submit your application directly.
When was the Front Office Pricing Modelling Quant job at quberesearchandtechnologies posted?
This Front Office Pricing Modelling Quant position at quberesearchandtechnologies was posted on Nov 19, 2025. Apply as soon as possible — early applications are often reviewed first.
Front Office Pricing Modelling Quant
quberesearchandtechnologies
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