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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. 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.
Job Responsibility:
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
Requirements:
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
Nice to have:
Knowledge of the betting or prediction markets is a plus