Quant jobs / Susquehanna International Group (SIG)

Quantitative Researcher – Experienced Hire

An experienced research role applying maths, statistics and programming to problems in the markets the firm trades. Researchers improve and implement trading strategies.

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 statistical forecasting models for real-time market problems
Analyse large datasets and draw conclusions that guide strategy changes
Improve and implement trading strategies with traders and developers
Try new methods rather than standard approaches

What they ask for

Required

Probability and statistics theory
Large dataset analysis
Statistical forecasting models
Object-oriented programming
Creativity in methods
Curiosity and persistence

Preferred

Clean, efficient code, ideally in Python

Education: PhD or equivalent in maths, physics, statistics, engineering, CS, operations research, economics or similar
Experience: Experienced researchers; finance experience not required
Languages and tools: Python

How to prepare

Build and validate a forecasting model on a noisy time series and report its uncertainty
Revise statistical theory behind estimation and hypothesis testing
Write production-quality Python for data pipelines
Read recent market-microstructure or forecasting papers and reproduce one

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 Susquehanna International Group (SIG)’s site before applying: requirements, location and pay can change after we check them.

View the posting on Susquehanna International Group (SIG)’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Susquehanna International Group (SIG) and doesn’t handle applications.