Senior Fraud Data Analyst

🕒 il y a 23 jours

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RELX

Site WebLinkedInTous les Emplois

10 000+ employés

🏢 Entreprise

🔬 Science

Enterprise • Science • Legal

RELX est un fournisseur mondial de solutions analytiques basées sur l'information et d'outils d'aide à la décision pour les clients professionnels et commerciaux. L'entreprise se concentre sur l'aide à ses clients pour prendre de meilleures décisions, améliorer les résultats, et accroître la productivité en utilisant des technologies avancées et des données. RELX intervient dans divers secteurs, notamment le risque, les sciences, techniques et médicales, le juridique, et les expositions, en offrant des informations spécialisées et des outils analytiques facilitant les prises de décisions critiques. L'entreprise s'engage dans la responsabilité sociale et la fourniture de bénéfices sociétaux à travers ses produits en contribuant aux avancées scientifiques, à la justice légale, et à l'efficacité des transactions sur le marché.

Description

• 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

🎯 Exigences

• 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%

🏖️ Avantages

• Country specific benefits