Quant jobs / Susquehanna International Group (SIG)

Quantitative Sports Trader

A hybrid trading and quant role focused on prediction markets, mainly sports. You trade using in-house models while maintaining the models, data pipelines and tools behind them.

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 sports prediction markets using in-house models and automated tools
Own and refine pricing, execution and market-making logic for assigned strategies
Review trades and model performance to recalibrate models
Work with researchers and engineers on new data features and tooling

What they ask for

Required

Python with Pandas and NumPy
Statistical analysis
Deep knowledge of football, soccer or golf and direct trading experience
Experience in fast-moving competitive markets
Product ownership
Communication
Flexible hours

Preferred

Putting data and models into production trading workflows

Education: Bachelor's or above in a technical or quantitative subject such as maths, statistics, CS, physics or economics
Experience: Experienced; direct experience trading or modelling sports or similar markets
Languages and tools: Python
Pandas
NumPy
Markets: prediction-markets

How to prepare

Build a live-style pricing model for one sport and compare it with market prices
Practise post-trade analysis: slice profit and loss by edge, liquidity and timing
Learn market-making basics such as spread setting and inventory risk
Automate a data pipeline for odds and results with Pandas

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.