Analyst, Fraud Data Analytics and Insights

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 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.

• 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

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.