Quant jobs / Two Sigma

Quantitative Software Engineer

A software engineering role that combines algorithms, high-performance computing and quantitative problems in support of research and trading. Engineers build models, systems and tooling.

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.

Prototype and implement models used across the firm
Design systems that power research and trading
Build and speed up research libraries and frameworks
Work with researchers on new quantitative areas

What they ask for

Required

BS in CS, applied maths or similar
At least 1 year of experience
Quantitative software across finance, numerics or machine learning
NumPy, SciPy or scikit-learn
Scientific computing and algorithms
Python

Preferred

Large-scale, real-time, distributed applications

Education: BS in computer science, applied mathematics or a related technical field.
Experience: Minimum 1 year; 3–10 years preferred
Languages and tools: Python

How to prepare

Build a quantitative library in Python with tests and benchmarks
Study numerical methods and algorithm performance
Use NumPy, SciPy and scikit-learn on a real quantitative problem
Practise competitive-style algorithm problems

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.