Data Analyst

at  Upstart Network Inc

ABOUT UPSTART

Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart’s AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than two-thirds of Upstart loans are approved instantly and are fully automated.
Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas.
Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you!
The Analytics team at Upstart is at the forefront of AI/ML-driven credit lending across the organization. Our team employs analytical and technical prowess to deliver comprehensive support in Upstart’s lending platform. The Credit Analytics team is building out foundational frameworks and infrastructures on forecasting and oversights, to inform business decisions across market cycles, emerging trends, risk and return trade-offs, among others. We also take pride in developing our business intelligence tools to empower self-service insight discovery and reporting automation.
As an Analyst at Upstart, you will join our Credit Analytics horizontal team, focusing on the risk capital program performance. You will support workstreams in driving critical insights and decisions concerning credit performance and strategies, and contributing to the long term development in underwriting framework and analytics infrastructure.The credit forecast pillar manages asset valuation and forecasting pipelines, ensuring continuous feedback loop with product and business roadmaps. You will be collaborating closely with other Data Analytics, Machine Learning, and Product teams, you will spearhead initiatives that support Upstart’s multi-product growth and extend our market leadership in lending.
Position location - This role is available in the following locations: Remote
Time zone requirements - The team operates on the West coast time zones.
Travel requirements - As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

MINIMUM QUALIFICATIONS:

• 3+ years in professional experience with demonstrated growth in technology and financial industry
• Experience in credit analytics, valuation, and/or quantitative financial model development with Python, R, & SQL
• Experience in decisioning supported by large datasets, data modeling, and data pipelines using tools like Databricks, DBT, Looker, Snowflake, & Redshift
• Degree in Economics, Statistics, Engineering, Data Science or other quantitative fields

PREFERRED QUALIFICATIONS:

• Demonstrated ability to work collaboratively and in deep partnership with cross-functional colleagues especially in Finance, Product, Data Engineering, ML teams
• Ability to craft executive-ready narratives around complex business or performance topics, leveraging visualization and dashboards (e.g., Tableau, PowerBI, Looker), and to successfully influence and drive C-level decision-making
• Experience in consumer lending strategy, and/or investment experience in consumer credit capital markets, private credit, structured products
• Experience in coaching and mentoring junior team members on technical subjects

Please refer the Job description for details