Overview
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.
SIG Sports is focused on geo-political and sports trading and analytics.
Due to our continued growth, we are looking for someone with an understanding and interest in sports analytics to join our Quantitative Research team.
Quantitative Researchers work to better understand markets and to identify, develop and improve trading strategies.
This is an exciting opportunity to be part of an early-stage initiative and be an influencer to shape new product in rapidly-evolving markets.
What you'll be part of:
This role sits at the intersection of trading, research, and development, offering exposure to each.
You will have access to the most comprehensive sports statistics and trading data.
You'll use your mathematical and analytical skills to design, test, and refine data-driven models and strategies.
This position will likely require intermittent international travel.
Tasks will include:
Understanding, refining, and maintaining our current exchange-trading strategies
Collaborate with traders, quants, and developers to improve our mathematical models and software
Trading sports events occasionally to enhance understanding of market dynamics
Build and calibrate probabilistic models for sports outcomes.
Analysing past trades and historical data in a constant search for improvement
Designing, testing, and evaluating new model ideas through simulation and backtesting frameworks
Developing tools useful for trading
Presenting findings and recommendations to traders and stakeholders in a clear and data-driven manner
What we're looking for
A Bachelor's degree (or higher) with research experience in a numerate or technical discipline such as Mathematics, Stats, Computer Science, Physics, etc.
Exceptional quantitative, statistical and probabilistic reasoning skills.
Very strong attention to detail.
Interest in sports data/analytics with an understanding of some subset of--NFL, NBA, MLB, NHL, Soccer or Tennis
Knowledge of data mining and modelling
Strong programming ability (Python, C#, or both); experience with libraries such as Pandas and NumPy a plus.
Ability to excel in a fast-paced environment
Strong interpersonal and English communication skills
Attentiveness and ability to react to changing priorities while managing multiple tasks is essential
Knowledge of the betting or prediction markets is a plus
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 Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.