Graduate Analyst – Quantitative Hedge Fund – Jersey
Are you an exceptional Maths / Computer Science / STEM grad with a strong foundational Coding ability who wants to work inside a live quantitative trading environment where your analysis directly feeds into production?
Interested in systematic markets, but want to keep options open for either research or engineering long term?
Looking for an early-career role where you can learn how real trading systems behave day to day?
Our client is a boutique quantitative Hedge Fund focused on systematic strategies in liquid global markets. The firm combines institutional investment experience with a disciplined research culture and a long-term approach to building trading capability. Operating with a small, senior team, they place strong emphasis on robust processes, clean data and careful execution. The business is profitable, well capitalised and selectively expanding its research function.
They are hiring a Graduate Analyst to sit alongside the research team.
The role
This is a hands-on position focused on the operational mechanics of systematic trading:
- Monitoring live strategies and investigating differences between simulation and production
- Running daily reconciliations and diagnosing data, execution or model issues
- Maintaining research and production datasets
- Supporting research workflows with clean, reproducible analysis
- Improving monitoring dashboards and alerting systems
You will work closely with senior researchers and developers and gain direct exposure to how ideas move from research into live deployment.
Who this suits
This role is designed for an exceptional graduate or early-career candidate who:
- Has strong quantitative instincts and enjoys working with data
- Is comfortable in Python and keen to develop further
- Cares about accuracy, detail and reproducibility
- Wants exposure to systematic trading without being locked into a single path
Over time, the role can evolve toward either research or development, depending on strengths and interest.
Background
- Degree in Mathematics, Physics, Engineering, Computer Science or similar
- Strong academic track record
- Interest in markets and systematic trading
Jersey-based role. Office presence expected.
To apply for this job email your details to doug.newman@ofcpartners.com.
