About the Business:
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Government vertical, our solutions assist government agencies and law enforcement to drive insights from complex data sets, improving operation efficiency, increasing program integrity, discovering, and recovering revenue, and making timely and informed decisions to enhance investigations. You can learn more about LexisNexis Risk at the link below. https://risk.lexisnexis.com/government
About the Job:
The Sr Fraud Analyst will be responsible for providing investigative and analytical support our clients, leveraging all of LexisNexis Risk Solutions products and Services. This position will be an individual contributor reporting to the Civilian SIU Sr Manager.
This role can be remote in the US with the ability to support EST as needed.
Responsibilities:
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Design and implement methodologies to gather, analyze, and continuously assess risk using customer data and LexisNexis public records, supporting government entities in identifying and mitigating fraud risk within the Social Services domain
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Analyze online transactional data to validate expected performance, identify trends and anomalies, and generate actionable insights for internal and external stakeholders, including detection of suspicious or potentially fraudulent behavior
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Evaluate large-scale batch datasets to support quality control (QC) processes, identify patterns and trends, and surface actionable leads to ensure optimal solution performance
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Leverage OSINT (Open-Source Intelligence) techniques to conduct investigative research and support customer-driven fraud investigations
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Develop and maintain scalable analytical scripts (e.g., SQL, Python, R) to automate data extraction, transformation, and advanced analysis
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Partner with Sales and Solution teams to provide pre- and post-sale support, including solution design, product education, implementation guidance, and best practices
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Manage and strengthen customer relationships through ongoing analysis and insights delivered throughout the lifecycle of engagements
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Develop and contribute to customer-facing presentations, translating complex analytical findings into clear, compelling narratives
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Research and recommend alternative approaches to help customers achieve cost-effective and optimized solutions
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Investigate and resolve data quality and QC issues, ensuring accuracy and reliability of outputs
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Identify and drive process improvement opportuniti