Quantitative Developer/Modeller - Risk & PnL

Description

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 on the quantitative foundations of QRT’s risk and PnL management platform, supporting trading and risk management across multiple asset classes and strategies. The role combines quantitative development, risk modelling and systems engineering, with a focus on building the models, analytics and infrastructure required for real time risk and performance management. You will work closely with Traders, Quantitative Researchers, Pricing Quants and Technology stakeholders to support live trading and risk decisions.

Your future role within QRT

Design and implement the quantitative foundations of a new risk and PnL management platform

Develop risk models and scenarios across multiple asset classes, including risk frameworks, market representations and performance attribution

Integrate derivatives pricing libraries and quantitative models into the broader risk management platform

Collaborate with Traders and risk stakeholders to develop risk models and scenarios for live trading strategies

Build scalable quantitative components capable of supporting complex calculations across large portfolios

Work with Technology stakeholders to integrate pricing, risk and scenario analytics into production systems

Contribute to the architecture and evolution of the platform as risk and trading requirements develop

Your present skillset

5 to 10 years of relevant quantitative development experience, with deeper experience considered for profiles closely aligned with the role

Undergraduate or postgraduate degree in a quantitative field such as Mathematics, Computer Science, Physics, Engineering or similar

Front office quantitative experience within a bank, hedge fund or comparable financial markets environment

Hands on experience developing risk management, pricing, valuation or quantitative analytics systems

Strong understanding of derivatives payoffs, valuation and risk, together with data structures, algorithmic complexity and performance optimisation

Strong Python development skills combined with production experience in C++, C or another compiled language

Experience designing quantitative systems that support multiple asset classes or complex trading strategies

Ability to work directly with Traders, Quantitative Researchers and risk stakeholders to translate requirements into production solutions

Strong communication skills with a pragmatic and collaborative approach to problem solving

Experience with modern AI assisted development tools such as Claude or Codex is beneficial

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.