Quant jobs / Point72

Quantitative Researcher – Cubist (Entry Level)

An entry-level research seat at Cubist Systematic Strategies, Point72's systematic trading affiliate. New hires are trained in the whole process of building predictive trading models.

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 new alpha signals and test them against historical data
Read recent academic papers and judge whether they could be traded
Run the research cycle from hypothesis to backtest to portfolio analysis
Add tools to the team's shared research framework

What they ask for

Required

Bachelor's, master's or PhD in a quantitative subject
Python or a similar language
Working SQL
Strong analytical and quantitative skills
Ownership of your own work
Teamwork and attention to detail

Education: Bachelor's, master's or PhD in finance, economics, maths, statistics, data science, computer science or another quantitative field
Experience: Entry level; finance experience not required
Languages and tools: Python
SQL
Markets: equities, futures, fx

How to prepare

Replicate a published equity anomaly in Python and test how it survives costs
Learn hypothesis testing, multiple-testing corrections and overfitting in backtests
Practise SQL and pandas on time-series data
Read recent empirical asset pricing and machine-learning-for-returns papers

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 Point72’s site before applying: requirements, location and pay can change after we check them.

View the posting on Point72’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Point72 and doesn’t handle applications.