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Supervisor - Fraud Operations

Earnest

Full-time
USA
operations
fraud
supervisor
sql
leadership
Apply for this position

As the Supervisor, Fraud Operations, you will report to the Head of Credit Operations.

As the Supervisor, Fraud Operations, you will:

  • Lead, coach, and develop a high-performing team of Fraud Operations analysts focused on investigating and mitigating fraud related to Earnest’s products.

  • Oversee the daily execution of fraud detection protocols and ensure team accountability to quality and service standards.

  • Build and maintain performance dashboards to track fraud metrics, loss mitigation, and team productivity.

  • Identify workflow and technology inefficiencies; partner with Product, Engineering, Risk, and Data teams to implement improvements.

  • Act as the liaison for operational fraud issues, collaborating with Credit, Risk, Compliance, Legal, and Customer Experience teams.

  • Represent Fraud Operations during audits and executive reviews, ensuring alignment with internal policies and regulatory expectations.

About You:

  • 3+ years of experience in fraud operations, credit risk, or financial services, with at least 1 year in a leadership or people management role.

  • Hands-on experience investigating fraud in consumer lending or digital banking.

  • Knowledge of fraud detection tools and case management systems (e.g., Alloy, SentiLink, Socure, GIACT).

  • Proficient with data analytics tools such as Looker, Tableau, or SQL.

  • Strong collaboration skills and a proven track record of partnering with compliance, risk, or legal teams to handle high-risk scenarios.

  • Strong analytical, coaching, and communication skills.

Even Better:

  • Experience refining fraud rule logic and contributing to the design of fraud detection strategies.

  • Prior involvement in regulatory audits or policy reviews.

  • Advanced fraud analytics capabilities, including root cause analysis and predictive pattern modeling.

  • Exposure to the full loan lifecycle and customer payoff/fulfillment processes.

Where:

  • This role will be based in the US. 

#LI-JP1

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About the job

Full-time
USA
Posted 1 day ago
operations
fraud
supervisor
sql
leadership

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Supervisor - Fraud Operations

Earnest

As the Supervisor, Fraud Operations, you will report to the Head of Credit Operations.

As the Supervisor, Fraud Operations, you will:

  • Lead, coach, and develop a high-performing team of Fraud Operations analysts focused on investigating and mitigating fraud related to Earnest’s products.

  • Oversee the daily execution of fraud detection protocols and ensure team accountability to quality and service standards.

  • Build and maintain performance dashboards to track fraud metrics, loss mitigation, and team productivity.

  • Identify workflow and technology inefficiencies; partner with Product, Engineering, Risk, and Data teams to implement improvements.

  • Act as the liaison for operational fraud issues, collaborating with Credit, Risk, Compliance, Legal, and Customer Experience teams.

  • Represent Fraud Operations during audits and executive reviews, ensuring alignment with internal policies and regulatory expectations.

About You:

  • 3+ years of experience in fraud operations, credit risk, or financial services, with at least 1 year in a leadership or people management role.

  • Hands-on experience investigating fraud in consumer lending or digital banking.

  • Knowledge of fraud detection tools and case management systems (e.g., Alloy, SentiLink, Socure, GIACT).

  • Proficient with data analytics tools such as Looker, Tableau, or SQL.

  • Strong collaboration skills and a proven track record of partnering with compliance, risk, or legal teams to handle high-risk scenarios.

  • Strong analytical, coaching, and communication skills.

Even Better:

  • Experience refining fraud rule logic and contributing to the design of fraud detection strategies.

  • Prior involvement in regulatory audits or policy reviews.

  • Advanced fraud analytics capabilities, including root cause analysis and predictive pattern modeling.

  • Exposure to the full loan lifecycle and customer payoff/fulfillment processes.

Where:

  • This role will be based in the US. 

#LI-JP1

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