Sports Analyst

Gamdom is seeking a Trading Analyst

Gamdom is seeking a highly motivated and detail-oriented Trading Analyst to join our dynamic team. This role is integral to ensuring the accuracy and efficiency of our sportsbook operations. As a Trading Analyst, you will focus on real-time monitoring, data analysis, and reporting, enabling informed decision-making and risk management across our betting markets.

Key Responsibilities

Daily Responsibilities:

• Monitor betting activity in real-time through ticker systems to identify and flag dangerous patterns.
• Report top event liabilities by the end of each shift.
• Provide detailed analysis and reporting on trading activity, including bet rejections and potential profit/loss impacts.
• Analyze connected user accounts and their related betting activities, drafting detailed reports for senior management.

Weekly Responsibilities:

• Conduct analysis on user categorization and recommend individual measures.
• Propose changes to users' customer classification framework (CCF) based on insights.
• Identify and report on sports or league-specific trends.

Monthly Responsibilities:

• Create comprehensive closing reports on overall sports and betting performance.
• Summarize top user activity and provide actionable insights.

Ad Hoc Responsibilities:

• Serve as the point of contact (POC) for customer support queries via internal communication channels.
• Draft on-demand trading reports for individual users as requested.

Required Qualifications

Experience:

• Previous experience in a sportsbook trading or similar role is highly desirable.
• Strong understanding of sports and sports betting markets, including odds compilation, risk management, and market dynamics.

Technical Skills:

• Familiarity with sportsbook trading platforms and systems.
• Proficiency in data analysis tools (Excel, Python, R, SQL); experience with statistical modeling is a plus.

Analytical Abilities:

• Strong numerical and analytical skills, with the ability to make quick, data-driven decisions.
• Skilled in identifying trends, patterns, and anomalies within large datasets.

Communication Skills:

• Excellent written and verbal communication abilities.
• Capable of presenting complex data in a clear, actionable format.

Attention to Detail:

• High accuracy and meticulous attention to detail.
• Ability to meet deadlines and deliver timely reports within expected ETAs.

Problem-Solving Skills:

• Proactive in identifying issues and implementing effective solutions in a fast-paced environment.

Preferred Qualifications:

• Experience with advanced trading tools and algorithms.
• Passion for sports and a deep understanding of market trends and customer behavior.
• Knowledge of machine learning or predictive modeling applied to sports betting markets is a plus.