Analyst, Fraud Data Analytics and Insights

Fidelity Investments; Covington (KY); On-site; USD 65,000 - 95,000; Full time

Job summary

Fidelity Investments is seeking an Analyst for Fraud Data Analytics and Insights to uncover actionable insights from large datasets and boost fraud prevention.

You will work with SQL, Python, and ETL tools, building domain expertise within Fidelity’s fraud and scam landscape, and collaborating with stakeholders across Enterprise Cyber Security and FRC for risk-informed decisions.

Qualifications

• Bachelor’s or master’s degree in a quantitative, analytics, or technical field.
• 2+ years’ experience in the financial services industry.
• Fraud or risk related experience preferred.
• Hands-on SQL and analytical platforms to work with large, complex datasets.
• 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 ability to identify data patterns.
• Ability to manage multiple priorities and shift gears across responsibilities.

Responsibilities

• 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 and be an expert in Fidelity’s data environment.
• Communicate analysis and provide recommendations to stakeholders within FRC and partners across enterprise cyber security.

Skills

SQL

Python

Data visualization

Fraud risk experience

Analytical thinking

Problem solving

Education

Bachelor’s or Master’s degree in quantitative/analytics/tech

Tools

SnapLogic

Alteryx

Informatica

Power BI

Tableau

Job description

Job Description

Note: Fidelity is not providing immigration sponsorship for this position.

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

Responsibilities

• 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.