Head Of Quantitative Modelling

Job Description

Who We Are:

The world's top sports betting and lottery brands choose OpenBet as their partner for world class content, leading tech and tailored service. We have their back, so they're ready with exciting, memorable and safe sports betting experiences to entertain billions of players worldwide.

The Team
OpenBet is sport. The world's top sports betting brands choose OpenBet as their partner for world class content, leading tech and tailored services. We have their back. So they're ready with exciting, memorable and safe sports betting experiences, to entertain millions of players worldwide.

As Head of Quantitative Modelling you will be joining the Data Science team and will be responsible for the Pricing Models quant-team that creates pre-match and in-play sports betting forecasting models. The role will be based in London or Athens.

The Goal

What you'll be doing
• Manage the Pricing Models quant-team
• Create pre-match and in-play model prototypes and communicate these clearly to the team for implementation
• Mentor the team on best practices when it comes to creating forecasting pricing models
• Establish testing standards for pricing accuracy and technical performance.
• Ensure coding principles are being implemented
• Ensure that modelling process is well documented
• Create yearly roadmaps with various milestones to monitor the progress of the team.
• Collaborate closely with product owners and software developers to move projects from idea to integration
• Communicate with clients the key elements that govern the model
• Report to the Director of Data Science on workflow and share findings with the Data Science team

The Player

What you'll bring

As a prerequisite to be considered for the role, you must have 3+ years working experience as a Quant or Data Scientist in the betting industry.
• 3+ years working experience in the betting industry
• 3+ years of working experience in a managerial position of a Data Science team
• A postgraduate qualification in Data Science, Machine Learning, Statistics, Mathematics or a closely related quantitative field
• Advanced programming skills: (a) statistical programming (R or Python), (b) object-oriented programming (C# or Java) and (c) SQL
• Experience with various modelling techniques (e.g. Probability Distributions, GLMs, Monte Carlo Simulations, Bayesian Inference, Time-Series Analysis etc.)
• A demonstrable interest in developing forecasting models for sports

Nice to Haves…
• A PhD in the quantitative field.
• Experience with various supervised/unsupervised/reinforcement learning methodologies (e.g. Neural Networks, Random Forests, GBMs, SVMs etc.)
• Experience with database management tools
• Experience with data visualisation platforms (e.g. Tableau, Qlik Sense, R-shiny etc.)
• Experience with version control platforms (e.g. GitHub, Gitlab, Bitbucket etc.)
• Experience with Jira and Confluence

What's the Score?

What we can offer YOU:

Attractive benefits, an open and supportive environment as well as a modern and exciting workplace
• The opportunity to interact with global teams on a regular basis as you and our business continues to develop & grow
• Tangible and genuine development - at OpenBet, you can take your career where you want it to go!
• And if that's not enough; enjoy flexible working whilst we provide you with the guidance and development skills you need to progress and enhance your career
OpenBet is an equal opportunity employer committed to a diverse and inclusive work environment.

#LI-CW1

#LI-Hybrid

Endeavor unites and brings people together in our love of sport, culture, and entertainment. We understand this can only be accomplished when we lead with a lens of diversity, equity, and inclusion in everything we do. As a global company that drives culture, we strive to reflect the world's diverse voices.  

Endeavor is an equal opportunities employer and encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.

Jobcode: Reference SBJ-d956p4-18-119-103-40-42 in your application.