Quant jobs / Point72

Quantitative Software Developer

A developer role in the KEPL team at Cubist, which runs medium-frequency statistical arbitrage. You would get full-stack exposure across data, research tooling and trading operations.

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.

Improve the data ETL pipeline
Build tools to analyse new datasets quickly
Add support for new markets and asset classes
Build tooling that speeds up research and trading
Handle daily production operations

What they ask for

Required

Master's or PhD in maths, computer science or engineering
1-3 years in software development or data analytics
Quantitative and programming skills together
Python
Linux

Preferred

SQL and pandas

Education: Master's or PhD in maths, computer science, engineering or a related field.
Experience: 1-3 years in software development or data science/analytics.
Languages and tools: Python
SQL
pandas
Markets: equities, futures, fx

How to prepare

Build an ETL pipeline for a market data set with data quality checks
Learn the basics of statistical arbitrage and pairs trading
Practise pandas and SQL on messy financial data
Get comfortable with Linux production operations

What to study

The HFT Quant Developer 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.