The Data Science department is looking for a Manager of Core Pricing to lead the quant team responsible for the overall performance of the pre-match bet-builder pricing models. The role will be based in Athens or London on a hybrid model with the expectation of 2 days per week in the office.

Key Responsibilities

• Lead the team in building and maintaining our pricing models.
• Create model prototypes and communicate these clearly to the team for implementation. Mentor the team on best practices when it comes to creating pricing models.
• Liaise with the wider Core Content teams (Data Science, Product, Engineering, and Trading) to integrate the models into production.
• Establish testing standards for pricing accuracy and technical performance.
• Ensure that (a) coding principles are being implemented and that (b) modeling processes are 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.

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. 

Essential qualifications

• 3+ years of working experience in the betting industry.
• 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 modeling techniques (e.g. Probability Distributions, GLMs, Monte Carlo Simulations, Bayesian Inference, Time-Series Analysis, etc.)
• A demonstrable interest in developing forecasting models for sports.
• Experience with version control platforms (e.g. GitHub, Gitlab, Bitbucket etc.)

Desirable qualifications

• Working experience in a managerial position of a Data Science team.
• A PhD in a 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 visualization platforms (e.g. Tableau, Qlik Sense, R-shiny, etc.).
• Experience with Jira and Confluence.

Why would you enjoy working with us at OpenBet?