Quant jobs / Two Sigma

Quantitative Software Architect – Quantitative Components

A senior architect role over the core forecasting, simulation and optimisation components behind the firm's portfolios. It sits between engineering and quantitative research.

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.

Set architecture and technical strategy for forecasting, simulation and optimisation components
Identify technical risks and direct their remediation
Learn research areas quickly and evolve the systems behind them
Mentor senior engineers

What they ask for

Required

7+ years in software engineering with financial or quantitative software
BS in CS, applied maths or similar
Python data science ecosystem
Object-oriented programming, Java preferred
Strong communication

Preferred

Portfolio construction, risk and market impact knowledge

Education: BS in computer science, applied mathematics or another technical or quantitative field.
Experience: 7+ years required; 10+ preferred
Languages and tools: Python
Java

How to prepare

Study portfolio construction, risk models and market impact
Design a modular forecasting and optimisation library with tests
Practise convex optimisation in Python
Learn architecture trade-offs for research platforms

What to study

The Portfolio and Factor Quant 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.