Quantitative Researcher - Equity Arbitrage- Tech-Driven Global Hedge Fund

Oxford Knight; London; On-site; GBP 60,000 - 100,000; Full time

Job description

The Client

One of the world's largest hedge funds, this is an excellent opportunity to join one of the most prestigious technology teams in systematic trading in a wide-ranging development role. With a flat-structured, 'no-attitude' working environment, this is a great time to join as engineering is currently undergoing significant investment.

The Role

Joining a small, diverse team tasked with delivering alpha at scale across equity events, including index rebalances and corporate actions. As a Quant Researcher, you will work side by side with an experienced semi-systematic Portfolio Manager focusing on these opportunities. You'll develop quantitative event-driven strategies as well as researching & developing new event-based signals across equities.

If you have a demonstrable passion for technology (personal projects, open-source involvement) and a hands-on attitude, this role would be perfect for you.

Key Skills

1. Minimum 3 years' experience in a related role
2. Exceptional quantitative skills in the research lifecycle (from signal generation to portfolio construction)
3. Deep-level understanding of statistics and how to apply to real-world problems
4. Expertise in the cash equities space, particularly building alphas
5. High-level programming skills in a language such as Python, or R
6. Degree (ideally PhD) in a quantitative field, e.g., Mathematics, Computer Science, Engineering, Economics or Physics, from a top-tier university
7. Proficiency with numpy, scipy, pandas, or similar would be beneficial

Benefits

1. Competitive salary + generous bonuses
2. Extra perks including a personal development allowance and sponsorship
3. Central London office with a very smart, friendly tech team
4. Flat-structured, transparent and collaborative environment, 'no-attitude' culture
5. Regular social events, plus annual company trips and team offsites

Contact

To apply for this role, or for further information, please contact:

Maia Ellis
[e-mail]
020 3745 6539
linkedin.com/in/maia-ellis-38a577193