Hybrid Fraud Operations Lead

Mountain America Credit Union

Sandy (UT)

Hybrid

USD 95,000 - 125,000

Full time

10 days ago
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Job summary

Mountain America Credit Union is seeking a Senior Fraud Operations Analyst to monitor and respond to sophisticated fraud across digital and physical channels. The role leads complex investigations, mentors teammates, and collaborates with engineers and leadership to reduce losses and improve detection systems.

The position requires 3+ years in fraud-related roles, strong analytical skills, and experience with biometric risk tools and SQL.

Qualifications

  • 3+ years of experience in fraud investigation, fraud analytics, or financial crime prevention.
  • 2+ years of progressive responsibilities within a financial institution or fintech environment.
  • Experience in customer service, especially in sensitive or high-impact situations.
  • Experience with biometric risk systems, behavioral analytics, and fraud case management platforms.

Responsibilities

  • Utilize fraud detection platforms and analytics to identify and investigate complex activities across digital and physical channels.
  • Analyze high-risk alerts and elevate cases involving potential fraud or account takeover.
  • Take decisive real-time action to secure compromised accounts and minimize disruption to legitimate activity.
  • Lead collaboration with fraud data analysts, engineers, and leadership to strengthen fraud infrastructure.

Skills

Fraud investigation
Fraud analytics
Behavioral analytics
Biometric risk
Case management
Customer service
Mentorship

Education

Associate’s degree

Tools

Fraud platforms
Case management software
SQL

Job description

Mountain America Credit Union is seeking a Senior Fraud Operations Analyst to monitor and respond to sophisticated fraud across digital and physical channels. The role leads complex investigations, mentors teammates, and collaborates with engineers and leadership to reduce losses and improve detection systems.

The position requires 3+ years in fraud-related roles, strong analytical skills, and experience with biometric risk tools and SQL.

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