×
Register Here to Apply for Jobs or Post Jobs. X

Manager, Fraud Detection and Analytics

Job in Roanoke, Denton County, Texas, 76299, USA
Listing for: Fidelity Investments
Full Time position
Listed on 2026-06-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 70000 - 100000 USD Yearly USD 70000.00 100000.00 YEAR
Job Description & How to Apply Below

Role Overview

Manager, Fraud Detection and Analytics

In this role, 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 payment card fraud schemes and implementing detection solutions to mitigate risk, using advanced analytics and data analysis tools.

Key Responsibilities
  • Analyze complex datasets to identify risk signals related to fraudulent debit card transactions.
  • Use Python, SQL, and analytical tools to analyze large, complex 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.
Qualifications
  • 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) to perform advanced analytics and uncover actionable insights.
  • Familiarity with payment card fraud detection and risk management.
  • 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 or fraud analytics is a plus.
Note

Fidelity is not providing immigration sponsorship for this position.

Team

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.

Certifications & Legal Disclosures

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.

#J-18808-Ljbffr
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary