Quantitative Derivatives Researcher — Trading Team

P2P; Greater London; On-site; GBP 148,000 - 222,000; Full time

Benefits offered by this job

Discretionary bonus eligibility

Medical, dental, and vision insurance

HSA, FSA, and Dependent Care options

Employer Paid Group Term Life and AD&D

Voluntary Life & AD&D insurance

Paid vacation plus paid holidays

Retirement plan with employer match

Paid parental leave

Wellness Programs

Job summary

Jump Trading Group seeks a highly skilled quantitative researcher to apply mathematics, statistics, and machine learning to identify patterns and predict market signals across global derivatives. You will collaborate with traders, researchers, and engineers to push innovative ideas and implement them in live trading environments.

Ideal candidates hold an advanced degree in a quantitative field, have strong Python and C++ development skills, and demonstrate a track record of developing

Qualifications

• Proven experience in developing quantitative strategies.
• Strong market expertise in equity options, ADRs, ETFs, or index products.
• Experience with fair value modeling.
• Deep understanding of derivatives market mechanics.
• Proficiency in Python and/or C++ development.
• Advanced degree in a relevant field (MS/PhD) from a top-tier university.

Responsibilities

• Identify patterns and predict market signals in global derivatives.
• Collaborate with scientists, traders, hardware and software developers, and market-facing teams to push ideas forward.
• Backtest and validate quantitative strategies to improve performance.
• Contribute to research workflows and maintain rigorous documentation.

Skills

Quantitative research

Market products expertise

Fair value models

Derivatives knowledge

Python/C++ development

Availability

Education

Master's or PhD in related field

Tools

Python

C++

Job description

Jump Trading Group seeks a highly skilled quantitative researcher to apply mathematics, statistics, and machine learning to identify patterns and predict market signals across global derivatives. You will collaborate with traders, researchers, and engineers to push innovative ideas and implement them in live trading environments.

Ideal candidates hold an advanced degree in a quantitative field, have strong Python and C++ development skills, and demonstrate a track record of developing