LexisNexis Risk Solutions is looking to provide innovative solutions to help businesses drive higher revenue growth, maximize operational efficiencies, and improve customer experience, specifically in areas such as Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.
Requirements
- Experience in predictive modeling or data analysis using Python
- Proficient in Python and data manipulation techniques
- Familiarity with machine learning and analytical methodologies
Responsibilities
- Collect, merge, and analyze large datasets to identify trends and patterns
- Evaluate and enhance data sources to improve product solutions
- Write analysis code and validate production accuracy with stakeholders
- Collaborate with internal and external clients on implementation, scoring, and data science techniques
- Communicate analytic findings and requirements clearly to both technical and non-technical audiences
- Support product development and sales through analysis, reporting, and data quality improvements
Other
- Degree in statistics, data science, mathematics, or related field — or equivalent experience
- Strong problem-solving, communication, and adaptability skills
- Comfortable working independently and in collaborative settings, with fluency in tools like PowerPoint, Word, Excel, and Power BI
- Travel requirements not mentioned
- Clearance requirements not mentioned
