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Analyst, Fraud Data Analytics and Insights

Fidelity Open
Covington Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Fidelity. Covington · full-time · no salary stated · we estimate $86,000–$135,000 across the United States.

Estimated pay

Fidelity has not published a salary for this role. The figure below is our estimate, not theirs.

$86,000 – $135,000
What the middle half of mid-level data analysis & BI roles in the United States paid, among postings that did state a salary.
Worked out from 905 postings that stated pay, median $105,892. Last updated Nov 6, 2026.
RoleData Analysis & BI
SeniorityMid-level
LocationCovington
EmploymentFull-time
PostedOct 23, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Analyze fraud data to inform prevention work, risk reviews, control design and policy decisions
  • Prepare operational reporting on global performance, fraud losses and analytical trends
  • Build knowledge of fraud and scams across Fidelity’s customer, transaction and trading data
  • Explain findings and recommendations to fraud risk teams and enterprise cybersecurity partners

What you bring

  • A bachelor’s or master’s degree, or equivalent experience, in a quantitative, analytics or technical field
  • At least two years of experience in financial services
  • Hands-on SQL experience working with large, complex structured and unstructured datasets
  • Experience exploring and visualizing data with Power BI, Tableau or another listed platform

Who this fits

This role suits an analyst who can work through complex data, spot patterns and manage shifting priorities while communicating findings to stakeholders. Immigration sponsorship is not available for this position. Fidelity is moving toward full-time onsite work in phases, and onsite expectations vary by region and role.

From the employer

Fidelity will not provide immigration sponsorship for this position.

Job Description:

Are you passionate about data analytics, investigating fraud, and combining strong technical skills with a risk mindset to uncover actionable insights from complex datasets? If so, you might be the right candidate for the Analyst, Fraud Data Analytics and Insights position within Fidelity’s Fraud Risk and Control (FRC) organization.

The Role

In this role, your focus will be on supporting data analytics across the Fraud Risk and Control organization. Your responsibilities include:

  • Data analysis for fraud prevention, risk assessments, controls, and policy decisions
  • Operational reporting for global operations and fraud loss and analytical trends
  • Build Fidelity-specific fraud and scam domain expertise, striving to become an expert in Fidelity’s complex business and the vast customer, transaction, trading data environment
  • Communicate analysis, collaborate with and provide recommendations to stakeholders within the fraud risk and control organization and to partners across enterprise cyber security

The Expertise and Skills You Bring

  • Bachelor’s or master’s degree or equivalent experience in a quantitative, analytics, or technical field (e.g., Data Science, Statistics, Engineering, Computer Science, Economics).
  • 2 plus years’ experience in the financial services industry.
  • Fraud or risk related experience preferred.
  • Hands‑on experience using SQL and analytical platforms to work with large, complex, structured, unstructured datasets to deliver actionable insights.
  • Experience with Python or other programming languages preferred.
  • Familiarity with ETL tools such as SnapLogic, Alteryx, Informatica.
  • Proven experience with data exploration and visualizations (Power BI or Tableau).
  • Prior project experience leveraging financial transaction, trading, customer data preferred.
  • Strong problem-solving and analytical skills, with the ability to identify data patterns and resolve complex business problems.
  • Ability to manage multiple priorities and shift gears across a variety of responsibilities.
  • Focus on execution by proactively identifying, communicating, and removing impediments to progress.
  • You are motivated, ask questions, thrive in a fast-paced and constantly evolving environment, and have a drive for continuous learning

The Team

The FRC organization, within Enterprise Cyber Security, is responsible for preventing, detecting, responding to, and investigating fraud incidents across the entire Fidelity enterprise. The FRC data analytics team supports reporting and analytics across the prevention/controls space, global operations performance analytics, fraud loss trends and analytical analysis into recent fraud events.

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:

Business 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.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.