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* Own and support fraud detection and prevention strategies across the fraud lifecycle * Manage and ... engineering, payment fraud, mule activity, first‑party fraud, and organized fraud schemes

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How much do lead fraud detection engineering jobs pay per year?

As of Sep 12, 2026, the average yearly pay for lead fraud detection engineering in the United States is $123,784.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $135,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Lead Fraud Detection Engineering job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $123,784 per year, or $59.5 per hour.

Manager, Fraud Detection and Data Analytics

Salt Lake City, UT • On-site

Fidelity Investments
Investment Management and Consulting Services • 10K+ employees
Learn more about Fidelity Investmentsexternal

Full-time

Posted 22 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role
The Fraud Detection Analytics Team is responsible for ensuring that fraudulent events-such as account logins, account openings, and payment attempts-occurring on Fidelity's platform are detected and mitigated in a timely manner. The team leverages a combination of vendor and internally developed tools and models to enable real-time detection and interdiction at various stages of the customer lifecycle.
You will work closely with data scientists, fraud strategists, and business stakeholders to support real-time fraud detection and prevention strategies. Your work will focus on identifying fraud and scam schemes and implementing detection solutions to mitigate risk, using advanced analytics and data analysis tools. Key responsibilities include:

  • Analyze complex datasets to identify risk signals related to cryptocurrency and scams involving money movement.

  • Use Python, SQL, and analytical tools to analyze large, complex, and unstructured datasets and extract actionable insights.

  • Implement fraud detection strategies in a real-time fraud decisioning engine.

  • Support anomaly detection efforts to identify coordinated fraud attacks and organized fraud rings.

  • Communicate insights clearly and effectively to influence stakeholders and drive product changes.

  • Collaborate across business units to drive data-informed strategies for fraud detection.

  • Contribute to the continuous improvement of the fraud detection program, through rule and model refinement, fraud hunting, and data discovery.

The Expertise and Skills You Bring

  • Bachelor's with 5 plus years or Master's with 3 plus years of experience in data analytics, preferably in fraud detection, cybersecurity, or risk domains.

  • Strong proficiency in Python and SQL for data analysis and automation.

  • Experience working with large-scale datasets and analytical platforms.

  • Skilled in using analytics tools (e.g., dashboards, statistical packages, data visualization platforms) and predictive statistics to perform advanced analytics and uncover actionable insights.

  • Ability to translate complex data into clear, actionable insights.

  • Strong communication and collaboration skills to work across teams and influence decisions.

  • Experience in anomaly detection, fraud/scams analytics, or crypto is a plus.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Data Analytics and Insights

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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