Develop and program methods, processes, and systems to consolidate and analyze diverse data sets to generate insights and solutions for customer solutions and program enhancement.
Identify and interpret insights from data sources and communicate findings to management.
Mine, model, and analyze large datasets utilizing descriptive, predictive, and prescriptive analytics.
Develop insights from historical loan performance data, identify swap-in opportunities to underwrite new customer populations, and develop credit solutions for customer base using various analytical techniques.
Develop and support custom score models for underwriting, pricing, and profitability.
Forecast performance of marketing campaigns and track actual performance against target.
Design and deploy model monitoring frameworks to assess the performance of partner underwriting portfolios, new product launches, and existing customer portfolios.
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.
Other duties as assigned.

Bachelor's degree or equivalent education and work experience.
Typically, 3+ years with bachelor's or equivalent.
Ability to handle large volume of data and derive actionable insights.
Strong analytical and problem-solving skills, combined with solid business acumen.
Strong written and communication skills with ability to explain complex insights to a range of audiences.
Experience in the consumer credit industry is a plus.
The ability to thrive in a fast-paced startup environment.

Data Scientist II

Key skills