Analyst, Fraud Detection and Analytics

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

Analyst, Fraud Detection and Analytics

The Role

You will work closely with data scientists, fraud strategists, and business stakeholders to support real-time fraud detection and prevention strategies. You will apply analytical techniques to large-scale datasets, utilize vendor tools to detect and mitigate scam events, where Fidelity customers are manipulated into sending money to legitimate payees. You will also work with the broader Detection and Analytics group to define processed and optimize overall detection strategy, including detection of Account Take Over events, Identify Theft and other types of fraud.

The Skills and Expertise You Bring

You offer a strong blend of advanced analytics expertise, fraud‑domain knowledge, and cross‑functional communication skills. Your background includes hands‑on experience using Python, SQL, and analytical platforms to work with large, complex datasets and uncover actionable insights. You are adept at identifying scam‑related fraud patterns, supporting anomaly detection efforts, and contributing to the detection of coordinated fraud attacks and organized fraud rings.

Your skill set includes leveraging both vendor products and internally built solutions to enhance customer authentication and identify risk indicators within authenticated sessions. You are experienced in developing and refining fraud detection models and dashboards, and in applying identity proofing tools and fraud‑mitigation methodologies.

You bring the ability to translate complex analytical findings into clear, influential insights that drive product changes and data‑informed decision‑making across business units. With strong collaboration and communication skills, you effectively partner with stakeholders to advance strategies that reduce scam risk and enhance fraud‑detection capabilities.

The Team

The Fraud Detection Analytics Team is responsible for ensuring that fraudulent events—such as account logins, account openings, and payment attempts—occurring on Fidelity’s platform are detected and mitigated in a timely manner. The team leverages a combination of vendor and internally developed tools and models to enable real-time detection and interdiction at various stages of the customer lifecycle.

The base salary range for this position is $83,000-158,000 USD per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

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.

Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position.

Certifications:

Category:

Data Analytics and Insights