Smartodds is a statistical research company that provides advanced sports modelling services to clients, including professional gamblers. We specialise in providing in-depth research and analysis on numerous sporting events all over the globe, and producing world-class bespoke software platforms. As a member of our Quant Team, you will be part of an exciting environment, predicting outcomes of professional sports on behalf of our clients. We focus on soccer, basketball, baseball, American football, ice hockey, tennis, cricket, and golf.For this role, you will initially undergo a six-month training period with up to two days per week devoted to covering training material on various advanced statistical methods as part of a small group and working through assignments on both theoretical and practical topics. The training period will conclude with an individual capstone project, where you will have the chance to demonstrate what you have learnt. In this initial period, the rest of the week will be taken up working directly with, and being mentored by, more senior quant analysts on relevant tasks that will improve the service we offer to our clients.Once the training program is complete you will become a Junior Quant Analyst and transition to spending around four days per week in assisting with research and the reliable production of high-quality predictions, with the remaining day each week left for more self-directed learning and development. Our hope is that over time you will accrue sufficient skills and experience to naturally develop into more senior roles.Responsibilities:* Assisting with programming, statistical, and data analysis tasks.* Participating in our Graduate Training Program.
Required:* Master's degree in Statistics / Data Science or a related area (e.g., Mathematics), including other disciplines (such as Computer Science, Engineering, Finance, etc) with some experience in statistics.* Experience with programming and a willingness to devote yourself to learning R.* Clear evidence of a passion for working in sports modelling. For example, you may have tried to build some predictive models in the past or done some interesting statistical analysis of a sport or team, or undertaken a Master's project in a related area.* A strong interest in further training and personal development.* A desire to learn new technologies and programming languages.Desirable:* An interest in and ability to understand statistical and machine-learning-based predictive models.* Experience with any additional programming languages* Familiarity with database technologies, e.g., SQL, MongoDB, Redis.* Some understanding of sports betting markets.