Quant jobs / Susquehanna International Group (SIG)

Quantitative Sports Researcher

A research role in a sports analytics team that builds statistical forecasting models used to make prices in sports betting markets. Researchers also spend time trading so their models fit how traders work.

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 and test forecasting models for game events using industry data
Code the models and strategies that traders will use
Watch how traders use models and adjust development to match
Cover some off-hours sessions when new models go live

What they ask for

Required

Strong quantitative and analytical skills
Logical reasoning
Coding for large datasets
Sports analytics or other quantitative project work
Communication

Preferred

Advanced degree
Knowledge of major sports
Trading experience

Education: Background in maths, physics, statistics, engineering, CS, operations research or economics; advanced degree a plus
Experience: Experienced hire with demonstrable sports analytics or quantitative projects
Markets: prediction-markets

How to prepare

Build a match-outcome model (for example Poisson or Elo based) and test its calibration against bookmaker odds
Learn proper scoring rules such as Brier score and log loss
Study how betting markets set odds and where edges can arise
Publish a small sports analytics project on real data

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.