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- Tasks: Detect and prevent fraud in our sportsbook platform while analysing customer activity.
- Company: Join a leading sportsbook dedicated to maintaining integrity and security in sports betting.
- Benefits: Enjoy flexible working options, competitive pay, and opportunities for professional growth.
- Why this job: Make a real impact on customer trust and platform security in a dynamic environment.
- Qualifications: Strong analytical skills and experience with fraud detection tools are essential.
- Other info: Stay ahead of industry trends and collaborate with various departments to enhance fraud prevention.
The predicted salary is between 28800 - 43200 £ per year.
The ideal candidate will be responsible for detecting, investigating, and preventing fraudulent activity within our sportsbook platform. The individual will be a sharp, analytical, and proactive Fraud Analyst to join our Sportsbook risk and fraud prevention team. In this role, you will help protect the integrity of our platform by identifying and mitigating fraudulent activity, including account takeovers, bonus abuse, payment fraud, and suspicious betting behavior. Your decisions directly impact customer trust and platform security.
Responsibilities
- Monitor customer activity in real time to identify patterns consistent with fraud, abuse, or other suspicious behavior.
- Analyze data to identify suspicious betting patterns, bonus abuse, identity theft, arbitrage, and syndicate/multi account activity.
- Investigate fraud alerts and escalated cases from customer support or automated systems.
- Use internal tools and third-party platforms to review account activity and transactions.
- Collaborate with other departments such as Compliance, Customer Support, and Payments to resolve fraud cases.
- Recommend and implement fraud rules or system enhancements to mitigate risks.
- Maintain detailed documentation of investigations and outcomes.
- Support regulatory reporting and audits as required.
- Assist in the development and refinement of fraud detection models and strategies.
- Stay current with fraud trends and industry best practices.
Skills & Experience
- Strong analytical and investigative skills.
- Experience working with fraud detection tools and back-office platforms.
- Understanding of betting products, odds formats, and sports wagering behavior.
- Familiarity with chargebacks, identity verification, and KYC procedures.
- Knowledge of AML and regulatory compliance in gambling jurisdictions – good to have.
- High attention to detail.
- Critical thinking and problem-solving.
- Ability to work independently and as part of a team.
Sports Fraud Analyst employer: Grace Media
Contact Detail:
Grace Media Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sports Fraud Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in sports fraud and betting behaviour. Understanding the nuances of how fraudsters operate can give you an edge during interviews, showcasing your proactive approach to the role.
✨Tip Number 2
Network with professionals in the sports betting and fraud prevention industry. Attend relevant webinars or local meetups to connect with others in the field, which could lead to valuable insights and potential referrals.
✨Tip Number 3
Brush up on your analytical skills by practising with real-world data sets. Being able to demonstrate your ability to identify patterns and anomalies in data will be crucial in interviews and discussions about your experience.
✨Tip Number 4
Stay updated on regulatory compliance and AML practices within the gambling sector. Showing that you are knowledgeable about these areas will not only impress interviewers but also highlight your commitment to maintaining platform integrity.
We think you need these skills to ace Sports Fraud Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in fraud detection and analysis. Emphasise any previous roles where you monitored customer activity or investigated suspicious behaviour, as this will show you have the skills needed for the Sports Fraud Analyst position.
Craft a Strong Cover Letter: In your cover letter, express your passion for sports and your understanding of betting products. Discuss how your analytical skills can contribute to identifying and mitigating fraudulent activities, and mention any specific tools or methodologies you are familiar with.
Showcase Relevant Skills: When filling out your application, ensure you highlight your strong analytical and investigative skills. Mention any experience with fraud detection tools, as well as your understanding of KYC procedures and regulatory compliance, which are crucial for this role.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or workshops you've attended related to fraud prevention or analysis. This shows that you stay current with industry trends and best practices, which is essential for a role focused on combating fraud.
How to prepare for a job interview at Grace Media
✨Showcase Your Analytical Skills
As a Sports Fraud Analyst, your analytical abilities are crucial. Be prepared to discuss specific examples of how you've used data analysis to identify fraudulent activities in the past. Highlight any tools or methodologies you’ve employed.
✨Understand the Betting Landscape
Familiarise yourself with betting products, odds formats, and common sports wagering behaviours. Demonstrating knowledge in these areas will show that you understand the context in which fraud occurs, making you a more compelling candidate.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions during the interview. Think about potential fraud cases you might encounter and how you would approach investigating them. This will showcase your critical thinking and problem-solving skills.
✨Emphasise Collaboration Skills
Collaboration is key in this role, as you'll be working with various departments. Share examples of how you've successfully collaborated with others in previous roles to resolve issues or implement solutions, particularly in fraud detection or risk management.
