$80K - $100K(Ladders Estimates)
BMW Financial Services NA, LLC is one of the twenty-six worldwide subsidiaries of the Financial Services Division of BMW AG. Our momentum is moving at such a rapid pace that we continually exceed average international growth rates and we constantly create new opportunities for our employees worldwide. Be a part of our exciting growth by expressing interest in our Statistician position located at our Woodcliff Lake, NJ office.
As the Statistician you will be responsible for recommending, building and improving statistically based methods related to ad-hoc residual value topics to support business decisions in risk management. You will develop appropriate model documentation and carry out model governance activities within the group, and will serve as a subject matter expert for the Risk Group in matters of data analytics methods and approaches.
You will lead other, non-setting and non-reserve, residual value related modelling topics, including documentation, communication, maintenance and updates. Also, you will facilitate model implementation with model users by communicating results, driving change and helping with model application and outcomes.
You will work with external service providers on statistical model development, improvement, testing and implementation by utilizing internal knowledge of used car market as well as statistical training and experience. As a SME on model interpretation, implementation and usage for internal customers (risk team) you will educate other risk area analysts in interpretation of model results, implementation and changes in order to adapt models to business needs, while ensuring most accurate results.
Join the BMW Financial Services team and enjoy a high-performance benefits
package which includes:
Even more so than the generous compensation and benefits, the culture and values of BMW Financial Services make it the ultimate working environment. These values include such things as, Responsibility, Appreciation, Transparency, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business.
Qualifications and Experience
3-5 years use of data acquisition, analysis and reporting tools and experience with their use on large relational databases
1-2 years experience in Consumer Finance, Banking or Automotive Industry
3-5 years experience with MS Excel, Word, and PowerPoint
Technical SAS knowledge (or similar software)
Masters Degree in Business Administration or Economics, with mathematical or statistical background or equivalent knowledge
Valid Through: 2019-10-18