Quant jobs / Susquehanna International Group (SIG)

Sports Trader

A trading role making fast decisions on sports and political markets using the firm's in-house models and technology. It sits alongside the quant team, feeding back market observations as research ideas.

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.

Trade pregame and in-game markets in major American sports and football using house models
Run and maintain trading strategies to improve expected value
Review past decisions to find what to change next time
Flag unusual market behaviour to quant researchers
Suggest features and strategy ideas for future trading

What they ask for

Required

Bachelor's degree, ideally technical
Strong quantitative and logical reasoning
Interest in sports such as NFL, NBA, soccer or tennis
Composure under pressure
Flexibility on hours
Communication skills

Preferred

Pandas and NumPy

Education: At least a Bachelor's, preferably in maths, statistics, computer science, physics or economics
Experience: No minimum experience stated
Languages and tools: Python
Markets: prediction-markets

How to prepare

Build a simple win-probability model for a sport you follow and test its calibration
Practise expected value, Kelly sizing and probability estimation under time pressure
Write up post-mortems of trades or bets to train decision review
Learn pandas and NumPy for fast data analysis

What to study

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.