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Mustard Systems logo

Sports Quantitative Analyst - Graduate Level

Mustard Systems
Posted 4 weeks ago
🇬🇧United Kingdom🏢Hybrid📁Data & Analytics
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The Quant team at Mustard Systems create predictive models that are globally recognised as best-in-class. We use cutting-edge statistical methods to model cricket and trading strategies, often developing our own techniques. We answer the questions captains, pundits and traders argue about: What strategy would be best in this situation? How do matchups affect the game? Who are the best players really? We're looking for talented individuals to join our team. What you can expect? To research recent advances in modelling to better extract signals from noisy data To join a close-knit, collaborative team of mathematicians and enjoy a high level of responsibility from an early stage To design and build your own models using your own ideas To work closely with expert traders and developers to improve your models Learn to build the best models from experienced quants What we're looking for? A 1st class degree from a top university or a 2:1 from Oxbridge. Degree-level study in statistics and probability theory. Intellectual curiosity, creativity and confidence to try new approaches. Excellent problem solving and communication skills. An interest in sports or competitive games. No cricket knowledge required! Why join Mustard Systems? Hybrid working environment. We're in the office every Monday, Tuesday and Thursday, and work from home every Wednesday and Friday Work on cutting-edge systems in a competitive and innovative field. Collaborate with a smart, driven team, where your contributions directly impact business performance. Opportunity to drive the company’s technical direction and double its revenue in the next three years. Comprehensive benefits, including: Competitive salary and significant bonus potential Enhanced pension match with salary sacrifice option. Health insurance and life assurance. Sabbatical leave after five years. 33 days of annual leave (including bank holidays)

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