Sports Behaviour Analyst needed at DigiOutsource

What you’ll be doing

As part of your role, your responsibilities will include:

• Monitor real-time sports events and results to identify irregular betting activity and respond to emerging risks.
• Analyse customer betting patterns and market trends to detect suspicious or advantage play behaviours, including matched betting and other promotional exploitation tactics.
• Investigate accounts flagged for irregular or undesirable behaviour, assessing suitability for stake factor reduction or other risk mitigation actions.
• Review accounts for potential account adjustments, based on positive behavioural indicators and betting history.
• Identify and investigate circumvention attempts, including the use of multiple accounts or coordinated activity to bypass controls.
• Track and report on behavioural trends across sports, markets, and customer segments to inform strategic decision-making.
• Segment customer profiles based on risk indicators, behavioural patterns, and betting activity to support targeted interventions.
• Collaborate with Trading, Risk, and Integrity teams to implement and refine mitigation strategies for high-risk behaviours.
• Contribute to the development and enhancement of detection tools and processes, ensuring timely and accurate identification of threats.
• Prepare and present data-driven insights and reports to internal stakeholders, supporting operational decisions and long-term planning.

This job description is not intended to be an exhaustive list of responsibilities. You may be required to complete other reasonable duties in order to achieve business objectives.

Essential skills you’ll bring to the table

The necessary skills that we require for this role include:

• Strong verbal and written communication skills, with the ability to clearly convey complex ideas to both technical and non-technical audiences.
• Proven ability to work collaboratively within cross-functional teams, contributing to shared goals and effective decision-making.
• Excellent project and time management skills, with experience handling multiple tasks simultaneously and delivering high-quality outputs on time.
• Exceptional attention to detail, ensuring accuracy and consistency in all analyses, reports, and operational processes.
• Adaptability and resilience in fast-paced, dynamic environments, with the ability to respond effectively to shifting priorities and emerging challenges.
• Advanced proficiency in Microsoft Office Suite, particularly Microsoft Excel, for data analysis and reporting.
• Strong numerical aptitude and analytical thinking, with the ability to interpret and derive insights from complex quantitative data.
• Solid understanding of the mathematical principles underpinning sports betting markets and customer behaviour.
• Experience working with relational and non-relational databases, including data extraction, manipulation, and interpretation.
• Deep passion for sports, complemented by a strong interest in sports data, betting trends, and behavioural analytics.
• Willingness and availability to work flexible hours, including evenings, weekends, and participation in a 24/7 rotational shift schedule.

Desirable skills you’ve got up your sleeve

It would be great if you also have some of the following skills:

• In-depth knowledge of sports betting markets, including odds calculation, betting types, and market dynamics.
• Previous experience in the online gaming, sportsbook, or casino industry, with a strong understanding of player behaviour and industry operations.
• Familiarity with gambling regulations and compliance requirements across multiple jurisdictions, ensuring adherence to legal and ethical standards.
• Proven ability to identify, investigate, and analyse patterns of abuse, arbitrage, and other forms of advantage play.
• Experience in developing and executing customer retention strategies, particularly in data-driven or regulated environments.
• Working knowledge of data visualisation tools, especially Tableau, for presenting behavioural insights and trends.
• Practical experience using search and analytics platforms such as Elastic Search and Kibana for behavioural monitoring and investigation.
• Proficiency in SQL or other query languages for efficient data extraction, manipulation, and analysis.