- 경험
- 2+ yrs
- 샐러리
- —
- 채용 공고
- 1
- 게시됨
- 1시간 전
- Work mode
- 사무실에서
- 교육
- Advanced degree in Mathematics, Statistics, Physics, Computer Science, or a related quantitative discipline
- Eligibility
- Candidates must already have the right to work, as sponsorship is not available. Applicants should hold an advanced degree in a quantitative discipline and have at least 2 years of experience in market making, high-frequency trading, or a similar quantitative trading environment.
- Resume
- Required to apply
Where you'll work
직무 설명
Role Overview
This opportunity is for a Quantitative Researcher to join a highly innovative hedge fund in Oxfordshire, England. The team works on equity mid- and high-frequency trading and is focused on building systematic strategies that can generate alpha from initial ideas all the way through to live deployment.
The role sits within a fast-moving research environment where you will explore large, complex datasets, identify predictive patterns, and work closely with experienced researchers and engineers on technically demanding trading problems.
What You’ll Do
You will contribute to the development of trading signals and strategy ideas, applying quantitative methods to large-scale data and helping move research concepts into practical execution.
- Investigate extensive datasets to discover signals and trading opportunities.
- Develop and test alpha-generating ideas for systematic trading strategies.
- Use Python for analysis, modelling, and machine learning tasks.
- Apply statistical research methods and inference techniques to complex data.
- Collaborate with quant researchers and engineers in a high-performance environment.
What the Employer Is Looking For
The ideal candidate will have an advanced degree in a quantitative subject and prior experience in a market making, high-frequency trading, or similarly quantitative trading setting. Strong Python capability and a solid grounding in statistical analysis are essential.
- Advanced degree in Mathematics, Statistics, Physics, Computer Science, or a closely related quantitative field.
- At least 2 years of experience in market making, high-frequency trading, or a comparable quantitative trading environment.
- Strong Python skills with experience in data analysis, modelling, and machine learning.
- Deep understanding of statistical research and inference on large datasets.
- Highly analytical, detail-focused, and naturally curious approach to problem-solving.
Additional Information
This position cannot offer sponsorship. Applicants must already have the right to work.
What’s on Offer
The role offers a highly competitive salary package, including bonus and benefits, along with the chance to work in a greenfield research setup where you can have real ownership and impact.
- Very competitive compensation, plus bonus and benefits.
- Greenfield research environment with strong autonomy and influence.
- Opportunity to work alongside elite quantitative researchers and engineers.
- Exposure to challenging problems, advanced technology, and substantial intellectual freedom.
Who Should Apply
This role is best suited to professionals who are passionate about systematic trading, enjoy solving complex quantitative problems, and want to help build alpha in a fast-paced environment.