Sports Analyst

TN France; Paris; Sur place; EUR 35 000 - 55 000; Plein temps

Résumé du poste

An established industry player is on the lookout for a detail-oriented Trading Analyst to join their dynamic team. This role is pivotal in ensuring the accuracy of sportsbook operations, focusing on real-time monitoring, data analysis, and reporting. You will be responsible for identifying patterns in betting activity, conducting user analysis, and providing insights to enhance decision-making and risk management. If you have a passion for sports and a knack for data, this is an exciting opportunity to make a significant impact in a fast-paced environment.

Qualifications

• Strong understanding of sports betting markets and risk management.
• Experience with sportsbook trading platforms and data analysis tools.

Responsabilités

• Monitor real-time betting activity and report on trends.
• Analyze user accounts and draft detailed reports for management.

Connaissances

Data Analysis

Numerical Skills

Problem-Solving

Communication Skills

Market Understanding

Formation

Experience in Sportsbook Trading

Knowledge of Machine Learning

Outils

Excel

Python

R

SQL

Description du poste

Gamdom is home to thousands of betting options for both sports and casino players to wager on. Since 2016, we have been steadily growing to provide more than just casino games and sports betting events to enjoy; with us, you can enjoy unique bonuses and earn massive rewards simultaneously. Discover all the rewarding features Gamdom can offer you below.

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

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