LexisNexis Risk Solutions is looking to solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management
Requirements
- Proficiency in SAS, R, Python, and Big Data technologies
- Experience in predictive modeling
- Computer Science, Statistics, Mathematics, or related field
- Experience with machine learning models
- Experience with cloud-based analytic solutions
- Experience with SQL
- Fraud analytics experience is a plus
Responsibilities
- Build and deploy machine learning models using R, Python, SAS, and SQL
- Develop cloud-based analytic solutions and integrate them into enterprise systems
- Analyze large datasets to uncover insights and support product development
- Collaborate with stakeholders to validate scoring code and ensure model accuracy
- Document methodologies and follow best practices in statistical modeling
Other
- Strong communication skills and ability to work cross-functionally
- Computer Science, Statistics, Mathematics, or related field
- Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
- Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
