Analyst, Fraud Detection and Analytics at Fidelity Bank · Merrimack

Summary: Fidelity Bank is seeking an Analyst for their Fraud Detection and Analytics team. In this role, you will collaborate with data scientists and business stakeholders to implement fraud detection strategies and analyze large datasets to prevent scams targeting Fidelity customers. Responsibilities: - Work closely with data scientists, fraud strategists, and business stakeholders to support real-time fraud detection and prevention strategies - Apply analytical techniques to large-scale datasets, utilize vendor tools to detect and mitigate scam events - Define processes and optimize overall detection strategy, including detection of Account Take Over events, Identify Theft and other types of fraud - Identify scam‑related fraud patterns, support anomaly detection efforts, and contribute to the detection of coordinated fraud attacks and organized fraud rings - Leverage both vendor products and internally built solutions to enhance customer authentication and identify risk indicators within authenticated sessions - Develop and refine fraud detection models and dashboards, and apply identity proofing tools and fraud‑mitigation methodologies - Translate complex analytical findings into clear, influential insights that drive product changes and data‑informed decision‑making across business units - Partner with stakeholders to advance strategies that reduce scam risk and enhance fraud‑detection capabilities Required Qualifications: - Strong blend of advanced analytics expertise - Fraud-domain knowledge - Cross-functional communication skills - Hands-on experience using Python - Hands-on experience using SQL - Experience with analytical platforms to work with large, complex datasets - Ability to identify scam-related fraud patterns - Support anomaly detection efforts - Contribute to the detection of coordinated fraud attacks and organized fraud rings - Experience in developing and refining fraud detection models and dashboards - Experience in applying identity proofing tools and fraud-mitigation methodologies - Ability to translate complex analytical findings into clear, influential insights - Strong collaboration and communication skills - Ability to partner with stakeholders to advance strategies that reduce scam risk and enhance fraud-detection capabilities Required Skills: Python, SQL, Fraud detection models Important Skills: Analytical platforms Nice-to-Have Skills: Cross-functional communication Benefits: Comprehensive health care coverage and emotional well-being support, Market-leading retirement, Generous paid time off and parental leave, Charitable giving employee match program, Educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career