Sr Statistical Modeler Job in Minneapolis, Minnesota US
LexisNexis Risk Solutions is taking a proactive approach to building talent pipelines for certain geographic areas. Although we do not have a current open in the area, we are interested in talking to candidates in this location for future opportunities.
This position exists to conduct research and development tasks in the modeling/scoring functional area. The incumbent will be technically proficient in modeling/scoring and will complete projects with minimal supervision. The incumbent will balance day-to-day production assignments, research assignments and will contribute to the advancement of the group.
1. Review and provide critical guidance for the development, coding, and implementation of all models.
2. Develop and institute guidelines and standards for coding to be implemented by all modelers.
3. Provide consultative support, training, and be a resource to all modelers.
4. Provide consultation and analysis to the sales support group on marketing presentations.
5. Build statistical models and custom risk/fraud prediction solutions.
6. Suggest/build software tools to streamline the building of models and other analytics.
7. Research and design advanced scores and indexes through exploration of new data sources available in LexisNexis.
Qualifications:
1. BA/BS or higher in either Mathematics, Statistics or Quantitative Methods. 2. 5 years experience in building logistic regression models using SAS or similar software package. 3. Applied modeling and analytics experience in Credit Risk Management.
LexisNexis is a leading global provider of business information solutions to professionals in a variety of areas, including: legal, corporate, government, law enforcement, tax, accounting, academic, and risk and compliance assessment. LexisNexis helps customers achieve their goals in more than 100 countries, across six continents, with over 18,000 employees. Regardless of your location, you'll work together with your colleagues as one team - a unified network of professionals who share a passion for solving problems, realizing results, and pushing the boundaries of what knowledge can do.
