Analyst, Fraud Data Analytics and Insights

Fidelity Investments • Covington, KY

2d

About The Position

The Analyst, Fraud Data Analytics and Insights supports data analytics across Fidelity’s Fraud Risk and Control (FRC) organization. The role applies data analysis to fraud prevention, risk assessments, controls, and policy decisions, and provides operational reporting on global operations, fraud losses, and analytical trends. The analyst develops expertise in Fidelity’s fraud and scam domains and its business, customer, transaction, and trading data environment. The position also involves communicating analyses, collaborating with stakeholders in FRC and partners across enterprise cyber security, and providing recommendations.

FRC, within Enterprise Cyber Security, prevents, detects, responds to, and investigates fraud incidents across Fidelity. Its data analytics team supports reporting and analytics for prevention and controls, global operations performance, fraud-loss trends, and analysis of recent fraud events. Fidelity is transitioning to a full-time onsite working model through a phased regional and role-based rollout; onsite expectations vary and may evolve.

Requirements

• 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 to work with large, complex, structured and unstructured datasets and deliver actionable insights.
• Familiarity with ETL tools such as SnapLogic, Alteryx, or Informatica.
• Experience with data exploration and visualization.
• Strong problem-solving and analytical skills, including identifying data patterns and resolving complex business problems.
• Ability to manage multiple priorities and shift across a variety of responsibilities.
• Ability to focus on execution by proactively identifying, communicating, and removing impediments to progress.
• Motivation to ask questions, work in a fast-paced and evolving environment, and continuously learn.

Nice To Haves

• Fraud- or risk-related experience.
• Experience with Python or other programming languages.
• Experience with Power BI or Tableau for data exploration and visualization.
• Project experience leveraging financial transaction, trading, or customer data.

Responsibilities

• Analyze data to support fraud prevention, risk assessments, controls, and policy decisions.
• Produce operational reporting on global operations, fraud losses, and analytical trends.
• Develop Fidelity-specific fraud and scam domain expertise, including understanding the business and its customer, transaction, and trading data environment.
• Communicate analyses, collaborate with stakeholders in the fraud risk and control organization and enterprise cyber security partners, and provide recommendations.
• Support reporting and analytics related to prevention and controls, global operations performance, fraud-loss trends, and recent fraud events.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level