Quant jobs / Squarepoint Capital

Senior Quantitative Researcher – Equity Mid/Low Frequency

A senior researcher role developing mid- to low-frequency equity strategies at a large multi-strategy quant manager. Work sits within the firm's automated trading framework.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Research and refine slower-moving equity alpha signals
Combine signals and manage turnover and capacity
Monitor the data pipeline and strategy behaviour through the trading day
Stress-test results for statistical significance and robustness

What they ask for

Required

Degree in maths, statistics, econometrics, financial engineering, OR, CS or physics
Programming in at least one of C++, Java or Python
Statistical rigour and scepticism about results
Clear communication across regions
Working well under pressure
Proven record running long-horizon equity strategies

Education: Quantitative degree such as maths, statistics, econometrics, financial engineering, OR, CS or physics
Experience: Track record running long-term equity strategies
Languages and tools: C++
Java
Python
Markets: equities

How to prepare

Build a cross-sectional equity factor backtest with transaction costs
Study factor decay, crowding and capacity
Learn portfolio construction with risk models
Practise guarding against data snooping in long-horizon research

What to study

The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Squarepoint Capital’s site before applying: requirements, location and pay can change after we check them.

View the posting on Squarepoint Capital’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Squarepoint Capital and doesn’t handle applications.