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Payments Fraud Analyst
Payments Fraud AnalystChess.com • Lancaster, CA, US
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Payments Fraud Analyst

Payments Fraud Analyst

Chess.com • Lancaster, CA, US
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Job Title

Chess.com is one of the largest gaming sites in the world and the #1 platform for playing, learning, and enjoying chess. We are a team of 600+ fully remote people in 60+ countries working hard to serve the global chess community. We are here to support 200M+ chess players worldwide with the best possible product, content, and tools to serve the community! We are a tech company. A gaming company. A content company. And we do it all with passion and commitment to the game. Above all we prize our mission-driven, flat, life-celebrating, no-corporate culture, and we look forward to meeting you and learning more about what you can bring to the team.

About You

You love data, patterns, and catching the bad guys. You enjoy tugging on small threads of information that reveal larger schemes and resolving these threats to our platform and our users, knowing you are protecting people. You help safeguard our community and our team by leveraging your critical thinking skills to find patterns, explore the unknown, recognize anomalies, and ensure our safety and efficiency. We are seeking a self-starter with subject matter expertise in both payments fraud and malicious account activity, including message fraud and bot activity. While your background may be stronger in either payments fraud or account security, you are a capable, flexible all-rounder who can pivot as needed to support both functions.

What You'll Do

  • Own the day-to-day operational and detection functions for payment fraud.
  • Stand up monitoring for transactions, account activity, and customer behavior to detect potential fraudulent patterns.
  • Protect our assets and costs by minimizing fraud loss, mitigating risk exposure, and providing optimal customer service while not jeopardizing good faith members.
  • Stay current on industry trends and best practices regarding financial crime processes and procedures in eCommerce (card not present transactions).
  • Establish and maintain alerting and reporting for fraud detection and trend analysis.
  • Provide insight to the team to mitigate financial and reputational risks.
  • Monitor & delivery reporting on refusal reasons.
  • Collaborate with internal teams (Customer Support, Compliance, Legal, IT Security) to resolve fraud cases effectively and to close accounts related to payment fraud activities and propose preventive controls.
  • Participate in design, testing and optimization of fraud detection systems with Payment backend developers.
  • Perform additional duties as assigned.

Qualifications

  • 7+ years of experience in payments fraud and operational experience in one or more of the following areas : ecommerce {card not present transactions}, fraudulent card testing, or general payments fraud.
  • 7+ years of experience in fraud detection, investigation, or risk management.
  • Skilled in risk profile management and fraudulent controls and rules and risk processes to combat ecommerce fraud (Ayden preferred).
  • Experience with fraud mitigation in a high volume transaction environment.
  • Prior engagement with fraud prevention and development teams is required.
  • We are seeking a team player with strong attention to detail, excellent problem-solving abilities, good communication skills, and a proven capacity for critical thinking to identify and address complex fraud cases.
  • Experience with BigQuery and other SQL are a must.
  • Preferred Skills

  • Experience in the gaming industry.
  • Experience with tooling, reporting and instrumentation platforms like Amplitude, Datadog, ELK, MaxMind, etc.
  • Experience in establishing payment fraud prevention processes, reporting, and trend analysis.
  • Experience on mitigating fraudulent activity in Adyen portal thru 3DS rule creation, management of Trust & Block lists, VAMP monitoring and PSP transactional reporting.
  • Experience in e-commerce, fintech or banking industries preferred.
  • Knowledge of data analysis tools is an advantage.
  • About the Opportunity

  • This is a full-time position.
  • We are 100% remote (work from anywhere!).
  • While we are a global, remote company - this role is best suited with flexibility to support time zones in the Americas (some working hours from 9-12am MDT).
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    Fraud Analyst • Lancaster, CA, US

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