Fidelity

Fidelity

Posted via Workday

Principal, Fraud Detection and Analytics

Posted Sep 3, 2026

Role at a glance

Job function
AI & Data Data Analytics
Salary
Not Disclosed
Location
Covington, Kentucky, United States
Employment
Full-time
Experience
7+ years of experience in data analytics, preferably within fraud detection, risk management, or cybersecurity.
Visa support
Fidelity will not provide immigration sponsorship for this position.

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Role Summary

AI-generated

The Principal, Fraud Detection and Analytics supports and enhances real-time fraud detection strategies, focusing on patterns related to account takeovers and coordinated fraud attacks. The role collaborates with data scientists, fraud strategists, and business stakeholders to improve fraud detection and prevention.

What You'll Do

  • Analyze complex datasets to identify patterns and trends related to account takeover and scam-related fraud.
  • Use Python, SQL, and other analytical tools to extract insights from large volumes of data.
  • Evaluate and optimize vendor and internal tools for detecting fraudulent behavior across digital experiences.
  • Support anomaly detection efforts to identify organized fraud rings and coordinated attacks.
  • Communicate findings to stakeholders to inform fraud prevention strategies.
  • Partner with cross-functional teams to develop and refine fraud detection models, dashboards, and reporting tools.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

7+ years of experience in data analytics; strong proficiency in Python and SQL; experience with large-scale datasets and modern data platforms; skill in statistical analysis, visualization, and reporting; familiarity with fraud detection methodologies related to account compromise and scams; ability to communicate actionable insights to technical and non-technical audiences; strong communication and collaboration skills.

Preferred

  • Experience in data analytics, preferably within fraud detection, risk management, or cybersecurity.
  • Experience in anomaly detection or behavioral analytics is a plus.

Original job description

Content provided by the employer

Fidelity will not provide immigration sponsorship for this position.

Job Description:


The Role

The Fraud Risk and Control (FRC) Detection Team is responsible for identifying and mitigating fraudulent activity, focusing on unauthorized account access and suspicious behavior. The team uses a combination of vendor technologies and internally developed models to enable real-time detection and intervention across the customer lifecycle.


As a Principal, Fraud Detection and Analytics, you will collaborate with data scientists, fraud strategists, and business stakeholders to support and enhance real-time fraud detection strategies. Your work will focus on uncovering patterns related to account takeovers, and coordinated fraud attacks using advanced analytics and large-scale data

  • Analyze complex datasets to detect patterns and trends related to account takeover and scam-related fraud.
  • Use Python, SQL, and other analytical tools to extract actionable insights from large volumes of data.
  • Evaluate and optimize vendor and internal tools to improve detection of fraudulent behaviors across digital experiences.
  • Support anomaly detection efforts to identify organized fraud rings and coordinated attacks.
  • Communicate findings clearly to influence stakeholders and guide fraud prevention strategies.
  • Partner with cross-functional teams to develop and refine fraud detection models, dashboards, and reporting tools.
  • Contribute to the continuous improvement of fraud analytics capabilities and operational effectiveness.

The Expertise and Skills You Bring

  • 7+ years of experience in data analytics, preferably within fraud detection, risk management, or cybersecurity.
  • Strong proficiency in Python and SQL for data analysis and automation.
  • Experience working with large-scale datasets and modern data platforms.
  • Skilled in using analytics tools for statistical analysis, visualization, and reporting.
  • Familiarity with fraud detection methodologies, especially related to account compromise and scams.
  • Ability to translate complex data into clear, actionable insights for technical and non-technical audiences.
  • Strong communication and collaboration skills to work effectively across teams.
  • Experience in anomaly detection or behavioral analytics 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.

Fidelity

About the company

Fidelity

Large Enterprise

Fidelity is a leading financial services company that provides a wide range of investment solutions and retirement planning services to individuals and institutions. Founded in 1946, Fidelity is renowned for its commitment to innovation and customer service, offering tools and resources that help clients manage their investments effectively. With a strong focus on technology and research, Fidelity continues to empower investors by providing access to market insights and a diverse array of financial products. As a trusted partner in personal finance, Fidelity plays a significant role in helping people achieve their financial goals.