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RELX

Sr. Fraud Data Analyst (Remote USA)

Reposted 13 Days Ago
Remote
Hiring Remotely in North Carolina, USA
75K-158K Annually
Senior level
Remote
Hiring Remotely in North Carolina, USA
75K-158K Annually
Senior level
Provide investigative and analytical support to government clients to detect and mitigate fraud in Social Services. Design methodologies, analyze large transactional datasets, use OSINT, develop automated scripts (SQL/Python/R), create customer-facing insights and presentations, resolve data quality issues, and support sales and solution teams. Lead process improvements and special projects.
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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:

  • 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
  • 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
  • Evaluate large-scale batch datasets to support quality control (QC) processes, identify patterns and trends, and surface actionable leads to ensure optimal solution performance
  • Leverage OSINT (Open-Source Intelligence) techniques to conduct investigative research and support customer-driven fraud investigations
  • Develop and maintain scalable analytical scripts (e.g., SQL, Python, R) to automate data extraction, transformation, and advanced analysis
  • Partner with Sales and Solution teams to provide pre- and post-sale support, including solution design, product education, implementation guidance, and best practices
  • Manage and strengthen customer relationships through ongoing analysis and insights delivered throughout the lifecycle of engagements
  • Develop and contribute to customer-facing presentations, translating complex analytical findings into clear, compelling narratives
  • Research and recommend alternative approaches to help customers achieve cost-effective and optimized solutions
  • Investigate and resolve data quality and QC issues, ensuring accuracy and reliability of outputs
  • Identify and drive process improvement opportunities to enhance analytical efficiency, scalability, and quality
  • Lead or contribute to special projects and strategic initiatives as assigned

Requirements:

  • Bachelor’s degree in Intelligence, Criminal Justice, Fraud Analysis, Data Analytics, or a related field
  • 5+ years of professional experience in data analysis, fraud investigation, or intelligence analysis; prior experience supporting government clients preferred
  • Proficiency in data analysis and visualization tools, including Excel, Power BI, and PowerPoint
  • Experience with programming and querying languages, such as SQL (e.g., MySQL), Python, or R
  • Strong analytical and critical thinking skills, with a demonstrated ability to apply structured logic to complex problems
  • Demonstrated research and investigative skills, including the ability to synthesize information and resolve ambiguous issues
  • Experience working with large-scale datasets and customer-facing analytic solutions
  • Strong organizational, prioritization, and project management skills, with the ability to manage multiple workstreams effectively
  • Excellent interpersonal and communication skills, with the ability to engage both technical and non-technical stakeholders
  • Self-motivated and adaptable, with the ability to work both independently and collaboratively in a team environment
  • Experience with OSINT techniques and tools preferred
  • Familiarity with LexisNexis solutions or similar data platforms preferred
  • Willingness to travel up to 25%
  • US Citizenship required
U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates. Base Pay Range for CO is $78,800 - $131,300. Base Pay Range for IL is $82,800 - $137,800. Base Pay Range for Chicago, IL is $86,700 - $144,400. Base Pay Range for MD is $82,800 - $137,800. Base Pay Range for NY is $86,700 - $144,400. Base Pay Range for New York City is $94,700 - $157,500. Base Pay Range for Rochester, NY is $78,800 - $131,300. Base Pay Range for OH is $74,900 - $124,700. Base Pay Range for NJ is $93,016- $148,584. This job is eligible for an annual incentive bonus. Application deadline is 08/14/2026.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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