Quantitative Analyst

 Quantitative Analyst

As a quantitative analyst at Smartodds, you’ll be part of an exciting environment, predicting outcomes of professional sports on behalf of our clients. We focus on football, American football, baseball, basketball, cricket, golf, ice hockey, and tennis but we are especially keen to hear from those with an interest in tennis and/or baseball. You’ll have plenty of autonomy to execute your models from idea to code to validation to (hopefully) deployment, integrating your well documented and tested code into our internal libraries to help in prediction for at least one of the above sports.

Education 

Essential: MSc in statistics or related area (e.g. Maths, Computer Science, Engineering, Physics)

Desirable: PhD or equivalent in statistics or related area, especially in machine learning

Skills and Experience 
Essential:

  • Extensive experience of probabilistic and statistical modelling
  • Strong programming skills in one high level language such as R or Python
  • Ability to communicate results to those with and without specialist knowledge

Desirable (but don’t worry if you don’t have these)

  • Knowledge of and interest in professional tennis and baseball 
  • At least three years of work experience for those without PhDs
  • Good programming skills in C++ and/or Julia
  • Experience with and/or knowledge of Bayesian models, state space models, filtering and smoothing, computational statistics and approximate inference methods
  • Experience with and/or knowledge of machine and statistical learning, deep neural networks, feature engineering, reinforcement learning, dynamic optimisation and optimal control 
  • Experience with automated trading systems
  • Strong software development foundations


The day-to-day
As a quantitative analyst at Smartodds, you’ll be part of an exciting environment, predicting outcomes of professional sports on behalf of our clients. We focus on football, American football, baseball, basketball, cricket, golf, ice hockey, and tennis. 
You’ll have plenty of autonomy to execute your models from idea to code to validation to (hopefully) deployment, integrating your well documented and tested code into our internal libraries to help in prediction for at least one of the above sports. 
The atmosphere is a collaborative academic one with peer reviews, research talks, and the opportunity for further education. Unlike academia though, the market is there to give immediate feedback on how good your model is. This makes the job challenging but also very exciting.
It is quite likely that you will work on models for in-game predictions or understanding how the actions of our clients affect the gambling markets, both of which are growing areas of the business.

Benefits

  • Getting to make your sports obsession your full-time job!
  • Competitive salary and discretionary bonus
  • Flexible working hours
  • 30 days annual leave plus public holidays
  • Generous pension scheme and education budget
  • Casual dress code
  • Freshly made lunch and dinner three days a week (when working from the office again)