We have a fantastic new opportunity to join our team at Smartodds as a Execution Research Quantitative Analyst.
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 ice hockey horseracingand golf.
Inthis roleyou willjointhe execution researchteamand will befocusing ondevisingautomated betting strategies using our predictive models and algorithms used tomarket make /seed different bookmakersmarketexchangesand predictions markets.
Market making strategies liquidity price risk order book counterparties market trend trading signaloptimaltime of placing betswill beyourtopic of research in the context of both pre match and in-running trading.
As it becomes increasingly important for the business to understand the information provided from clients through their actions the rolemightalso include analysing betting patterns and market behaviour.
This role combines rigorous statistical and mathematical modelling with production engineering. You will take models from research through to deployment writing well-tested documented code that integrates into our internal libraries. The atmosphere is collaborative and academic - peer reviews research talks and further education opportunities - but unlike academia the market performance provides immediate feedback on model quality. This makes the job challenging but alsovery exciting.
You will have plenty of autonomy todevelopyour models from idea to code to validation to (hopefully)release. However this autonomyoperateswithin a structured framework: established coding patterns weekly check-ins high test coverage and strict reproducibility standards.
While we are open to applications from anyone who meets theminimumrequirements we would be especially keen to hear from applicants with substantial market making experience and a demonstrable passion for betting markets.
Key Responsibilities
Contribute toidentifyingpromising research directions; ensure research is carried out to the highest standard
Develop betting and market making strategies for both pre-match and in-play
Contribute to discussions and efforts toidentifyweaknesses and potential improvements in existing betting strategies and / or models across all sports
SupportSmartodds clients in their pricing tasks by developingmaintainingand supporting the mathematical libraries behind our range of tools models and software that delivers model predictions into production
Perform statistical analysis of datasets testing well-defined hypotheses and effectively communicating results to various stakeholders
Potentially support and lead more juniors members of the team
Skills & Experience
Required Technical
EitherMSc in 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 statistics and 3 years of work experience in a relevant role (e.g. sports quantitative analyst for a betting syndicate a bookmaker or betting exchange); or aPhD or equivalent in 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 statistics
Extensive experience of probabilistic and statistical modelling
Model diagnostics:Ability to evaluate predictive model performance usingappropriate metricsand toquantify and communicate predictive uncertainty
Strong programming skillsin a high-level language such as R or Python.
Write production-quality code not just analysis scripts
Demonstrated passion for working in sports betting
Working style
Collaborative team playerwith a constructive approach to receiving and applying feedback
Understands the importance of reproducible research andproperly testedcode
Thorough and reliable with a verification mindset
Ability to work autonomously while communicating proactively any blockers when needed
Good organisation and communication skills including the ability to coordinate work across teams
Ability to communicate results to those with and without specialist knowledge
Others
Ability to work in the UK
Preferred
Experience in developing and automating market making strategies on betting exchanges / financial markets
Experience implementing automated trading systems and algorithms
Good understanding of sports betting markets
Experience in customer segmentation and profiling (ideally in context of a bookmaker)
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 learningdynamicoptimisationandoptimalcontrol
Experience working with large datasets
Knowledge of and interest in football or other sports
Strong software development foundations
Experience with anyadditionalprogramming languages (such as C or Julia)
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
*Available on selected days
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)
After Probation
Dedicated time for professional development - conferences courses meet-ups networking events (at least one annually)
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
After 2 Years
Increase in Employer Pension to 6% (to a minimum employee contribution of 3%)
Enhanced Maternity Pay
Enhanced Paternity Pay
After 4 Years
Increase in Employers Pension to 7% (to a minimum employee contribution of 3.5%)
If this sounds like the right fit we would love to hear from you. Please submit your CV and a cover letter explaining your interest in football analytics and highlighting relevant technical experience
Required Experience:
Manager
We have a fantastic new opportunity to join our team at Smartodds as a Execution Research Quantitative Analyst.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 collabor...
We have a fantastic new opportunity to join our team at Smartodds as a Execution Research Quantitative Analyst.
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 ice hockey horseracingand golf.
Inthis roleyou willjointhe execution researchteamand will befocusing ondevisingautomated betting strategies using our predictive models and algorithms used tomarket make /seed different bookmakersmarketexchangesand predictions markets.
Market making strategies liquidity price risk order book counterparties market trend trading signaloptimaltime of placing betswill beyourtopic of research in the context of both pre match and in-running trading.
As it becomes increasingly important for the business to understand the information provided from clients through their actions the rolemightalso include analysing betting patterns and market behaviour.
This role combines rigorous statistical and mathematical modelling with production engineering. You will take models from research through to deployment writing well-tested documented code that integrates into our internal libraries. The atmosphere is collaborative and academic - peer reviews research talks and further education opportunities - but unlike academia the market performance provides immediate feedback on model quality. This makes the job challenging but alsovery exciting.
You will have plenty of autonomy todevelopyour models from idea to code to validation to (hopefully)release. However this autonomyoperateswithin a structured framework: established coding patterns weekly check-ins high test coverage and strict reproducibility standards.
While we are open to applications from anyone who meets theminimumrequirements we would be especially keen to hear from applicants with substantial market making experience and a demonstrable passion for betting markets.
Key Responsibilities
Contribute toidentifyingpromising research directions; ensure research is carried out to the highest standard
Develop betting and market making strategies for both pre-match and in-play
Contribute to discussions and efforts toidentifyweaknesses and potential improvements in existing betting strategies and / or models across all sports
SupportSmartodds clients in their pricing tasks by developingmaintainingand supporting the mathematical libraries behind our range of tools models and software that delivers model predictions into production
Perform statistical analysis of datasets testing well-defined hypotheses and effectively communicating results to various stakeholders
Potentially support and lead more juniors members of the team
Skills & Experience
Required Technical
EitherMSc in 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 statistics and 3 years of work experience in a relevant role (e.g. sports quantitative analyst for a betting syndicate a bookmaker or betting exchange); or aPhD or equivalent in 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 statistics
Extensive experience of probabilistic and statistical modelling
Model diagnostics:Ability to evaluate predictive model performance usingappropriate metricsand toquantify and communicate predictive uncertainty
Strong programming skillsin a high-level language such as R or Python.
Write production-quality code not just analysis scripts
Demonstrated passion for working in sports betting
Working style
Collaborative team playerwith a constructive approach to receiving and applying feedback
Understands the importance of reproducible research andproperly testedcode
Thorough and reliable with a verification mindset
Ability to work autonomously while communicating proactively any blockers when needed
Good organisation and communication skills including the ability to coordinate work across teams
Ability to communicate results to those with and without specialist knowledge
Others
Ability to work in the UK
Preferred
Experience in developing and automating market making strategies on betting exchanges / financial markets
Experience implementing automated trading systems and algorithms
Good understanding of sports betting markets
Experience in customer segmentation and profiling (ideally in context of a bookmaker)
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 learningdynamicoptimisationandoptimalcontrol
Experience working with large datasets
Knowledge of and interest in football or other sports
Strong software development foundations
Experience with anyadditionalprogramming languages (such as C or Julia)
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
*Available on selected days
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)
After Probation
Dedicated time for professional development - conferences courses meet-ups networking events (at least one annually)
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
After 2 Years
Increase in Employer Pension to 6% (to a minimum employee contribution of 3%)
Enhanced Maternity Pay
Enhanced Paternity Pay
After 4 Years
Increase in Employers Pension to 7% (to a minimum employee contribution of 3.5%)
If this sounds like the right fit we would love to hear from you. Please submit your CV and a cover letter explaining your interest in football analytics and highlighting relevant technical experience