Quantitative Researcher| Sports Analytics

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