Fraud Operations Specialist (Evenings)

About the Role:This is a Full Time Evening position that requires working Monday through Friday from 2:00 PM - 11 PM Pacific Time. While this is a remote US role, we are unable to accept applications from candidates residing in California. You do not need to be in the Pacific Time zone to apply, but the required working hours remain as stated (2:00 PM - 11:00 PM PT). Candidates who are not available to work Monday through Friday evenings from 2 PM - 11 PM PT need not apply.

As a Fraud Operations Specialist, you will join a growing Fraud Ops team and perform regular fraud investigations to detect bad actors and improve user experience for legitimate customers. Through your investigations, you will detect trends in fraud and abuse and find new opportunities to positively impact Extend’s internal processes. This role requires direct experience with fraud and abuse operations (preferably in an eCommerce setting), an understanding of fraud concepts, communication skills to work with cross functional stakeholders, and knowledge of spreadsheet and data processing software.

What You Will Be Doing:

• Real-Time Claim Review: Review claims in real time for potential cases of fraud/abuse, leveraging your information gathering and communication skills to ensure you have sufficient evidence to make a fraud determinations, and providing valuable feedback for Extend’s risk models.
• Risk Score Judgments: Review customer behavior and incidents using internal and external data and independently make decisions on customer risk scores. You will also have the power to recommend denials and approvals for claims.
• Fraud Investigations and Subject Matter Expertise: Bring your own experience to perform fraud investigations and deliver insights on emerging trends for fraud/abuse.
• The Procedure: Take ownership of each investigation and diligently follow all regulatory and departmental practices and procedures, making independent decisions based on facts and evidence, and reporting any non-standard escalations to your manager. Attend regular meetings and training for Fraud Operations best practices, and offer your insights into the latest trends for fraud/abuse.
• Cross-functional Work: Collaborate with Claims, Product, and Engineering, completing ad hoc tasks to evaluate and improve in-house models to detect fraud.
• Be Proactive and Adaptable: Drive team success and achieve both independent and collaborative goals, proactively completing additional tasks for the role as needed.

What We’re Looking For:

• Evening Shift: Candidates will be scheduled to work Monday through Friday 2 PM - 11 PM PT
• 2+ years of direct Fraud/Abuse Operations experience, preferably in an eCommerce environment
• Time management and efficiency: must be able to meet specified SLAs for claim reviews
• Bachelors' degree or equivalent experience, preferably in a related field
• Subject Matter Expertise in fraud concepts and prevention best practices
• Ability to perform due diligence Fraud Investigations and make determinations with evidence, efficiency, and sound reasoning
• Ability to make independent decisions regarding customer risk scores and determinations
• Excellent written and verbal communication, information gathering, and decision-making skills
• Positive attitude and willingness to thrive in a rapidly changing, results-driven environment
• Digital proficiency and professionalism: Able to use spreadsheets and office software like Excel, Microsoft/Google Suite
• Attention to detail and willingness to deep dive into internal and external data
• Empathetic, humble, and collaborative team player
• Candidates must be located within the continental United States

Nice to Haves:

• Prior experience in a retail or high-growth start-up environment (eCommerce)
• Familiarity with database query language such as SQL and data software like Snowflake
• Exposure to Project Management and/or CRM software like JIRA, Untangl

Estimated Pay Range: $50,000-$63,000 per year salaried*
* The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.