We are working with a highly regarded single-manager hedge fund who are looking to hire an Equity Quant Researcher to join their quant team in London. The team is central to the business, focusing on firm-level portfolio construction and risk. The role will span portfolio analytics, factor modelling and performance attribution, which feeds directly into strategy development and portfolio decisions.
The fund has a lean structure and this role will work closely with the PM. They are keen to add a quant researcher who can bring both cash equity expertise and some breadth of skills to the team.
This is an opportunity to have a direct impact on a central part of the firm’s investment process, with strong scope for growth. The ideal candidate will have an entrepreneurial and pragmatic mindset.
Responsibilities:
- Build and enhance factor models and portfolio analytics across cash equities.
- Develop attribution and performance analysis to inform portfolio decisions.
- Research trading and market impact to improve portfolio construction and execution.
- Explore new data sources, including alternative data, to generate research insights.
- Collaborate closely with the quant team and senior stakeholders.
Required Skills:
- 5-7 years of relevant experience.
- Cash equities knowledge, with experience in portfolio analytics, equity factor modelling and performance attribution.
- Coding proficiency in Python or a similar language.
- Familiarity with agentic AI tools.
- Experience or knowledge of trading/market impact and mid-frequency strategies.
- Experience of doing research with alternative data.
- Knowledge beyond cash equities, for example volatility, options or other asset classes.
Due to high demand, we are advertising this role anonymously.
We can only respond to highly qualified candidates.
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