Quantitative Developer - Equity Volatility- Hedge Fund - London

Attribution Search is partnered with a leading global hedge fund looking to hire a Quantitative Developer with experience building trading infrastructure for Equity Volatility strategies.

This is an exciting opportunity to work closely with traders and quantitative researchers, building technology that supports systematic and discretionary equity volatility trading strategies across the full investment lifecycle. The role sits within a highly collaborative front-office environment and offers direct exposure to research, trading, and production systems.

• Python quantitative developer responsible for building and maintaining tools supporting equity volatility and derivatives trading strategies
• Supporting all stages of the trading strategy lifecycle, including research, backtesting, production rollout, operational readiness testing, and ongoing optimisation
• Working closely with traders and quantitative researchers to enhance trading workflows, analytics, and infrastructure
• Developing and maintaining scalable data pipelines and quantitative tooling across large financial datasets
• Contributing to cloud-based and containerised research and production environments
• Collaborating across trading, technology, and quantitative teams to deliver robust and reliable solutions

• Degree educated in a quantitative subject such as Mathematics, Computer Science, Physics, Engineering, or similar
• 5+ years’ experience within quantitative development or systematic trading environments
• Prior experience supporting equity volatility, equity derivatives, or options-based trading strategies
• Strong ability to communicate clearly with traders and business stakeholders
• Experience with Pandas and quantitative development libraries
• Commercial experience with at least one additional language such as C#, Java, or C++
• Strong relational database knowledge and experience working with large financial datasets

• Experience with Docker and containerised environments
• Familiarity with AWS and Kubernetes
• Exposure to messaging systems such as RabbitMQ or Kafka is desirable
• Strong attention to detail
• Effective communicator, including within highly technical discussions
• Ability to influence and collaborate across technology and trading teams

Candidates with relevant experience are encouraged to apply to learn more.