Data Analyst

Upstart

Upstart is a pioneering AI lending marketplace enhancing access to affordable credit by collaborating with financial institutions. With operations spanning across the USA, Upstart is committed to leveraging AI to automate and streamline lending processes, enabling nearly instant loan approvals. The team is driven by a mission to redefine credit accessibility and is seeking individuals energized by opportunities to influence market leadership and growth.

In this role you can expect to have the responsibilities:

• Collaborate with cross-functional teams to shape credit metrics and financial forecasts.
• Influence credit platform decisions by analyzing machine learning models and credit data.
• Lead analytics efforts on underwriting and credit monitoring.
• Develop forecast models, data pipelines, and automated reporting for credit intelligence.
• Foster best practices in data, credit, and analytics.

This role comes with the following benefits:

• Competitive compensation including base, bonus, and equity.
• Comprehensive medical, dental, and vision insurance.
• 401(k) with matching contributions.
• Employee Stock Purchase Plan.
• Life and disability insurance.
• Generous leave policies.
• Parental and family care leave.
• Wellness and technology reimbursements.
• Regular social activities and office amenities.

This role requires you to have:

• 3+ years of professional experience in technology and finance.
• Proficiency in Python, R, & SQL.
• Experience in credit analytics and financial modeling.
• Data modeling with tools like Databricks, Looker, Snowflake.
• Degree in Economics, Statistics, Engineering, Data Science, or similar.

You would benefit from having:

• Experience collaborating with Finance, Product, Data, ML teams.
• Skill in creating executive-ready business narratives.
• Experience in consumer lending strategy.
• Capability to mentor and coach junior colleagues.

Upstart is an Equal Opportunity Employer committed to diversity and inclusion, actively working to provide equal access to credit and embrace various cultural and personal backgrounds.