The company is expanding and growing into a national leader in consumer financing. They aim to create a novel valuations ecosystem to support customer-facing decisions, internal simulations, analytics, and strategic decision-making, while helping customers during hard financial times.
Requirements
- Bachelor’s Degree in Statistics, Computer Science, Applied Math, Physics, Engineering, Economics, Operations Research
- 3+ years’ experience with predictive analytics, implementing data products or analytic solutions, or related consulting experience with a proven record of performance
- Proficient with Python, R, SQL or other common analytic programming languages
- Familiarity with software management and change control systems, such as Git, GitHub, Bitbucket, etc.
- Advanced degree preferred
- Experience with consumer finance is desired
Responsibilities
- Design, develop, implement, monitor, and maintain valuations related machine learning models
- Manage data analysis and modeling projects leveraging appropriate statistical, mathematical or machine learning tools to support business strategies and outcomes
- Manage analytic solutions (data, tools reports, models) that advance and accelerate business partner agenda
- Generate and synthesize customer and market insights from a wide variety of data systems
- Develop needed databases, data structures, computer patterns and operational processes to extract maximum value from existing and new data assets
- Write “production worthy” code and perform code review and necessary testing to ensure that data products meet the highest quality and production standards
- Identify opportunities to apply statistical methods to improve business performance, advance new strategies or to solve existing challenges
Other
- Leadership qualities
- Excellent problem-solving skills
- Excellent presentation skills
- Strong analytical skills with strong attention to detail and high concern for data accuracy
- Excellent organizational and time management skills; ability to multi-task, prioritize workload, maintain accuracy, and meet deadlines in a fast paced and high-volume environment
