Quantitative Strategy Developer | Sports | Experienced Hire at Susquehanna International Group, LLP (SIG)

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Full Time

Start Date

Immediate

Expiry Date

03 May, 26

Salary

0.0

Posted On

02 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Forecasting, Mathematics, Gaming, Technology, Analytical Problem-Solving, Logical Reasoning, Communication Skills, Data Processing, Sports Analytics, US Sports Knowledge, International Travel, Programming, Machine Learning, Quantitative Research, Trading Strategies, Simulation

Industry

Financial Services

Description

Overview At Susquehanna Sports, our team builds statistical forecasting models that help provide liquidity for the sports betting industry. These models are vital to creating new trading strategies and informing decision-makers about the distribution of game events. By joining our Sports Analytics team, you will be part of a group that is passionate about mathematics, gaming, and technology. In this role, you will Immerse yourself in sports analytics research Empirically test ideas using real industry data Write programs to implement models and simulate outcomes Discuss and collaborate with fellow researchers, traders, and technologists What we're looking for PhD or Master’s degree in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics Solid, analytical problem-solving skills Excellent logical reasoning Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood Experience in writing code to process and analyze large sets of data Demonstrated experience working on sports analytics projects Understanding of US Sports (NFL, NBA, MLB, NHL) and world sports (soccer, tennis, golf, cricket) Intermittent international travel may be required. About Susquehanna Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together. If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee. #LI-LM1

Responsibilities

The role involves building statistical forecasting models for the sports betting industry and collaborating with researchers, traders, and technologists. You will also immerse yourself in sports analytics research and empirically test ideas using real industry data.