Manage a team of Risk Associates to conduct investigations of escalated alerts and potential suspicious activity and fraud.
Help deliver world-class experiences for customers.
Ensure compliance with anti-money laundering regulations and best practices.
Mentor and develop associates through continuous feedback, check-ins, and ongoing mentorship.
Leverage various tools, systems, and reports to detect and uncover fraud trends.
Review player deposit and withdrawal transactions for potential fraud.
Work closely with Fraud Support and Customer Experience to resolve player restrictions.
Identify methods for fraud detection and prevention.
Provide recommendations supported by data in implementing new fraud alerts and controls.

Requirements

Bachelor's degree in Criminal Justice or Sociology will be considered a plus.
At least 3 years of relevant experience in a Fraud or Risk Operations role.
At least 1 year of management experience with a strong passion for leading and developing a team.
An investigative curiosity with strong critical thinking skills and the ability to communicate vision across the organization.
Excellent verbal and written communication skills, with the ability to influence across teams and collaborate with internal and external stakeholders.
Basic SQL experience is required, intermediate experience is preferred.
Self-motivated and analytical, with a strong attention to detail and a drive to investigate potentially fraudulent behavior using critical data points.
Familiarity with Zendesk and Microsoft Office product suite; intermediate Excel skills are preferred but not required.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLfraud detectionfraud preventiondata analysisinvestigative skillscritical thinkingreporting

Soft Skills

leadershipmentoringcommunicationcollaborationattention to detailself-motivationanalytical thinking

Certifications

Bachelor's degree in Criminal JusticeBachelor's degree in Sociology