Job Description
Job Description: Note: Fidelity will not provide immigration sponsorship for this role. Analyst, Fraud Detection and Analytics Fraud Risk & Control Job Description As an Analyst, you will collaborate with data scientists, fraud strategists, and business stakeholders to support and enhance real-time fraud detection strategies. Your work will focus on uncovering patterns related to account takeover, scam activity, and coordinated fraud attacks using advanced analytics and large-scale data.
The Expertise And Skills You Bring - Analyze large-scale datasets using Python, SQL, and modern analytics tools to identify fraud patterns, trends, and emerging threats.
- Support anomaly detection and behavioral analytics to identify coordinated attacks and organized fraud rings.
- Leverage third-party vendor solutions and build internal tools to assess authentication risk and session-based fraud signals.
- Assist in the development, refinement, and monitoring of fraud detection models, dashboards, and reporting frameworks.
- Translate complex analytical findings into clear, actionable insights to influence stakeholders and drive product and policy changes.
- Collaborate across business and technical teams to deliver data-driven fraud detection strategies.
- 3-5 years of experience in data analytics, preferably within fraud detection, risk management, or cybersecurity.
- Strong proficiency in Python and SQL for data analysis, automation, and modeling.
- Experience working with large, complex datasets and modern data platforms.
- Proficiency with analytics and visualization tools for statistical analysis and reporting.
- Familiarity with fraud detection methodologies, particularly account compromise and scam prevention.
- Strong communication skills with the ability to explain complex data to both technical and non-technical audiences.
- Experience with anomaly detection or behavioral analytics is a plus.
The Team: The Fraud Detection Analytics Team is responsible for identifying and mitigating fraudulent activity, focusing on unauthorized account access and suspicious behavior. The team uses a combination of vendor technologies and internally developed models to enable real-time detection and intervention across 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.
Certifications: Category:
Data Analytics and InsightsPDN-a0ccd488-e273-44b6-8701-166b1b724b6d
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