Quantitative Analyst Tennis
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Job Summary
Based in North London Smartodds provides in-depth research and analysis on sporting events around the world supported by world-class bespoke software platforms. We are proud of our collaborative and dynamic culture grounded in our core values of Boldness Open-mindedness Ownership and Togetherness. We are a supportive and collaborative team - our environment is open inclusive and focused on doing great work together.
About the role
As a member of the Quant Team you will join an exciting environment predicting outcomes of professional sports on behalf of our clients. We focus on football baseball basketball cricket tennis American football icehockeyandhorseracing.
In this role you willbe the main Quant working on Tennisand willbe responsible fordevelopingstatistical modelsforbothpre-matchandin-play. You will alsosupportresearch into othersportsas well asinvestigatehow our predictions can beleveragedto improve profitability and the overall commercial performance.
Furthermoreyou willplay a key role in developing and supporting the reliable production of high-quality predictions for 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.
We highly value the personal development of our teammembersand you will therefore be able toallocatededicated time to improve your skills and gain the necessary experience that will enable you to progress into more senior roles.
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.
Whilewe are open to applications from anyone who meets theminimumrequirements we would be especially keen to hear from applicants with more substantial research experiencefor thisparticular role.
Key Responsibilities
- Contribute toidentifyingpromising research directions; ensure research is carried out to the highest standard
- Developtennis predictive models forboth pre-match andin-play
- Contribute to discussions and efforts toidentifyweaknesses and potential improvements in existing models across all sports
- Support Smartodds clients in their pricing tasks by developingmaintainingand supporting the mathematical libraries behind our range of tools and models and software that delivers model predictions into production
- Perform statistical analysis of datasets testing well-defined hypotheses and effectively communicating results to the various stakeholders including Smartodds clients
- Attend at least one event to support your professional development as a sports quant analyst on an annual basis: conferences courses meet-ups networking events; in-person or remotely; on sports statistics machine learning gambling etc.
Skills & Experience
Required
- EitheraMSc in Statisticsora related field (e.g. Data Science or Mathematics) or another field (such as Computer Science Engineering Finance etc) with some experience in statisticsand3 years of work experience in a relevant quantitative analyst for a betting syndicate or a bookmaker; or aPhD or equivalentin Statistics or a related field (e.g. Data Science or Mathematics) or another field (such as Computer Science Engineering Finance etc) with some experience in statistic
- Extensive experience of probabilistic and statistical modelling
- Strong programming skills ina high-level language such as R or Python
- Demonstrated passion for working in sports modellingevidencedby personal projects MSc project in a related area or statistical analyses of sports or teams
- Collaborativeteamplayerwitha constructive approach to receiving and applying feedback
- Understands the importance of reproducible research andproperly testedcode
- Thoroughand reliable with a verification mindset
- Ability to work autonomously while communicating proactively about anyblockerswhen needed
- Good organisation and communication skillsincluding theability tocoordinate work acrossteams (data analysts data engineers softwaredevelopers)
- Ability to communicate results to those with and without specialist knowledge
- Ability to work in the UK
Preferred
- A strong interest intennisdemonstratedbypreviousattempts to model outcomes or analyse data
- Good understanding of sports betting markets
- 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 dynamicoptimisationandoptimalcontrol
- Experience with automated trading systems
- Strong software development foundations
- Experience with anyadditionalprogramming languages(suchasCorJulia)
- Familiarity with database technologies e.g. SQL MongoDB Redis Postgres
- Experience with version control codereviewsand merge requests
What you can expect in return Our Benefits
From Day One
- 30 days holiday (in addition to bank & public holidays)
- In-house chef*
- In-house masseuse*
- Team sporting events
- 25% discount on Brentford Football Club merchandise
- Cycle to work scheme
- Employee Assistance Programme
- Interest-free travel season ticket loan
- Offsite trips
After 3 Months
- Pension - Employer Contribution starting at 5.5% and employee starting at 2.5%
- Income protection 75% of salary (subject to terms & conditions)
- Private Medical Insurance - including coverage of any excess payment
- Health Cash Plan via Medicash
- Life Assurance (4 x times earnings at time of death)
- Enhanced Company Sick Pay
- A discretionary annual bonus
- Increase in Employer Pension to 6% (to a minimum employee contribution of 3%)
- Enhanced Maternity Pay
- Enhanced Paternity Pay
- Increase in Employers Pension to 7% (to a minimum employee contribution of 3.5%)
Required Experience:
Manager
Key Skills
About Company
Smartodds specialise in providing in-depth quantitative and qualitative research and analysis on numbers sporting events all over the world.
