Analyst, Fraud Data Analytics and Insights

Reposted 22 Hours Ago
Covington, KY, USA
In-Office
Junior
Fintech
The Role
Supports fraud prevention and risk analytics through analysis of complex financial, transaction, trading, and customer datasets. Develops operational reporting on fraud trends, losses, controls, and global performance; investigates patterns and delivers actionable recommendations to Fraud Risk and Control stakeholders and enterprise cybersecurity partners. Builds fraud and scam domain expertise while managing multiple priorities and communicating insights effectively.
Summary Generated by Built In

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 RoleIn 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.

Skills Required

  • Bachelor's or master's degree, or equivalent experience, in a quantitative, analytics, or technical field such as data science, statistics, engineering, computer science, or economics.
  • At least 2 years of experience in the financial services industry.
  • Hands-on experience using SQL and analytical platforms with large, complex, structured, and unstructured datasets.
  • Experience with Python or another programming language.
  • Familiarity with ETL tools such as SnapLogic, Alteryx, or Informatica.
  • Experience with data exploration and visualization using Power BI or Tableau.
  • Project experience using financial transaction, trading, or customer data.
  • Strong problem-solving and analytical skills, including identifying data patterns and resolving complex business problems.
  • Ability to manage multiple priorities and adapt across varied responsibilities.

Fidelity Investments Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fidelity Investments and has not been reviewed or approved by Fidelity Investments.

  • Strong & Reliable Incentives — Bonuses, commissions, and profit-sharing are presented as generous and meaningful components of total compensation, with certain roles achieving high total earnings through multiple pay streams. Variable pay is consistently framed as a positive contributor beyond base salary.
  • Retirement Support — A 401(k) match up to 7% alongside additional profit-sharing up to 10% materially enhances long-term compensation. These retirement features are highlighted as standout strengths of the overall package.
  • Parental & Family Support — Generous paid parental leave (16 weeks maternity, 12 weeks parental), backup dependent care, and adoption assistance provide robust family support. Hybrid work and caregiving resources further ease family responsibilities.

Fidelity Investments Insights

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The Company
HQ: Boston, MA
58,848 Employees
Year Founded: 1946

What We Do

At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products. Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.

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