About the Role:

This role presents an excellent opportunity to work with credit modeling, data science and portfolio analytics team.  In this highly visible role, you will be self-driven and passionate developing quantitative models, ongoing performance monitoring of in-house and partner models to ensure that models are working as expected.

This role requires creative problem solving as we are constantly exploring new data sources and solutions to comprehensively understand our customers' needs and preferences and identify and interpret insights from data sources and communicate findings to management.

What You Will Do:

• Consolidate disparate and large datasets for use in reporting, analytical, and modeling work, including proper quality assurance and data management practices in accordance with data governance policy.
• Mine, model, and analyze large datasets utilizing descriptive, predictive, and prescriptive analytics.
• Develop insights from historical performance data, identify opportunities, and develop solutions using various analytical techniques.
• Develop and support machine learning and statistical models for use in predicting credit outcomes, and/or identifying and quantifying various risks.
• Design and deploy model monitoring frameworks to assess the performance of deployed models.
• Advise senior management of emerging trends and risks.
• Collaborate with vendors and technology teams to ensure new strategies and models are implemented accurately and as designed.
• Conduct other ad hoc analyses as required to support team goals.
• Additional duties as assigned.

What You Will Need:

• Bachelor's degree or equivalent education and work experience.
• 3+ years of experience in data mining, modeling using SAS, SQL, R/Python.
• Experience in the consumer credit industry is a plus.
• Developing professional expertise, applies company polies and procedures to resolve a variety of issues. Continues to build knowledge of the organization, processes, customers, and experience in own discipline.
• Works on problems of moderate scope where analysis of situations or data requires review of a variety of factors. Exercises judgment within defined procedures and practices to determine appropriate action.  Builds productive internal/external working relationships.

The responsibilities listed above are not all inclusive and may be changed at any time.

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