Quant jobs / Two Sigma

Quantitative Researcher – Equities

A research role building equity alpha signals with statistical and machine learning models across multiple return horizons. It works with portfolio managers and engineers within a quantitative investment firm.

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.

Build predictive equity signals from fundamentals, analyst data and earnings events
Residualise and decorrelate signals against risk factors and existing signals
Engineer research pipelines in Python on cloud and distributed compute
Evaluate signals with information coefficients, Sharpe and portfolio simulation with costs

What they ask for

Required

Quantitative strategy development including backtesting
Predictive modelling: linear, regularised, tree and neural methods
Large-scale data processing in the cloud
Empirical research method
Cross-sectional and time-series analysis
Version control and code review

Education: Master's in maths, CS, statistics, finance or similar; or Bachelor's plus three years of quantitative experience.
Experience: Master's, or Bachelor's with 3 years of quantitative analysis
Languages and tools: Python
Markets: equities

How to prepare

Build a cross-sectional equity signal with realistic backtesting and transaction costs
Practise regularised regression and tree models on financial features
Learn risk-factor residualisation and signal decorrelation
Work with large datasets using distributed tools
Compute information coefficients and attribute performance by segment

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 Two Sigma’s site before applying: requirements, location and pay can change after we check them.

View the posting on Two Sigma’s site ↗

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