Upstart is looking to improve the accuracy of their credit risk and underwriting models, with a focus on their flagship product (Personal Loans) and building the platform to unlock innovation in other product lines.
Requirements
- Knowledge of machine learning workflows (e.g. model training, online inference, feature management, etc.)
- Experience working with a machine learning team to ship models into production
- BA/BS in Economics, Computer Science, Electrical Engineering, Mathematics, Statistics, a related technical field, or equivalent practical experience
- Work experience in credit risk and underwriting (preferred)
- Work experience in machine learning, data science, or analytics (preferred)
Responsibilities
- Conduct user research, analyze portfolio performance, and manage stakeholders to drive consensus towards a roadmap for our credit underwriting models
- Identify new opportunities to improve the accuracy and speed of credit underwriting decisions
- Write detailed requirements; manage agile processes to ensure consistent execution and accurate timelines across engineering and machine learning teams
- Make smart trade-offs to inform the ongoing product roadmap, prioritizing the features with the highest ROI and experimenting when necessary
- Deliver improved credit performance for our lending partners and investors while advocating for an excellent customer experience
- Demonstrate and encourage best practices in product management by working with other PMs throughout the company
Other
- 5-7 years of product management experience
- Demonstrated ability to achieve strategic goals in an innovative and fast-paced environment, and to evolve product strategy based on research, data and industry trends
- Excellent problem-solving, organizational and analytical skills
- Passion and aptitude for credit and financing-related economic concepts
- Travel requirements: As a digital first company, the majority of your work can be accomplished remotely, but in-person sessions may be required once or twice per quarter
