Upstart

www.upstart.com

3 Jobs

1,657 Employees

About the Company

Upstart (NASDAQ: UPST) is the leading AI lending marketplace, connecting millions of consumers to more than 100 banks and credit unions that leverage Upstart's AI models and cloud applications to deliver superior credit products. With Upstart AI, lenders can approve more borrowers at lower rates while delivering the exceptional digital-first experience customers demand. More than 90% of loans are fully automated, with no human intervention by Upstart. Founded in 2012, Upstart's platform includes personal loans, automotive retail and refinance loans, home equity lines of credit, and small-dollar "relief" loans. Upstart is based in San Mateo, California.

Listed Jobs

Company Name: Upstart
Job Title: Staff Analyst, Small Dollar Loan
Job Description: Job Title: Staff Analyst, Small Dollar Loan Role Summary: Lead data‑driven strategy and analysis for a high‑volume, low‑cost lending product. Partner with product, engineering, and data science teams to shape roadmaps, build analytics frameworks, and drive experimentation, ensuring scalable growth and improved risk outcomes. Expectations: - Minimum 8+ years in product analytics, data science, or equivalent quantitative role, ideally in fintech, lending, or consumer finance. - Proven ability to influence cross‑functional teams through data storytelling. - Comfortable navigating ambiguous, fast‑moving environments and translating insights into actionable product decisions. Key Responsibilities: - Design, implement, and maintain analytics frameworks to measure product performance, user behavior, and loan results. - Conduct deep‑dive analysis and modeling to uncover growth opportunities and optimize loan performance and risk strategies. - Define and run experimentation (A/B tests, causal inference) to improve customer experience and financial metrics. - Collaborate with product managers and general managers to embed data‑driven decision making into product roadmaps and business strategies. - Communicate findings and recommendations clearly to both technical and non‑technical stakeholders, influencing product and business direction. Required Skills: - Advanced proficiency in SQL, Python (or R) for data analysis, modeling, and automation. - Expertise in statistical analysis, experimental design, A/B testing, and causal inference methodologies. - Strong analytical and problem‑solving skills with the ability to translate complex data into clear, actionable insights. - Excellent written and verbal communication skills for presenting to diverse audiences. Required Education & Certifications: - Bachelor’s degree in a quantitative field (Statistics, Economics, Computer Science, Data Science, or related). - Relevant certifications in data analytics, statistics, or product analytics are a plus.

Company Name: Upstart
Job Title: Machine Learning Model Risk Specialist
Job Description

Company Name: Upstart
Job Title: Senior Data Scientist
Job Description: **Job Title** Senior Data Scientist **Role Summary** Lead the development, maintenance, and evaluation of predictive models for credit risk assessment. Translate statistical and machine learning insights into actionable business strategies, and build scalable data solutions and dashboards to monitor model performance. **Expectations** - Deliver data‑driven recommendations that drive measurable business outcomes. - Bridge technical modeling with product, engineering, and growth teams. - Maintain rigorous metrics for model accuracy, uncertainty, and operational stability. **Key Responsibilities** - Design, build, and refine metrics for model performance and uncertainty quantification. - Conduct in‑depth exploratory and ad‑hoc analyses to uncover growth opportunities and inform pricing strategies. - Collaborate with engineering and analytics teams to create scalable data pipelines for efficient data access. - Partner with product managers, growth marketers, and other stakeholders to align on priorities and translate analytical findings into strategic actions. - Develop interactive dashboards and reporting tools (e.g., Plotly, Matplotlib) to monitor key performance indicators and model health. - Identify and diagnose model or data issues, propose solutions, and communicate findings to cross‑functional teams. **Required Skills** - Advanced statistical, probability, and machine learning theory. - Strong SQL skills for querying large datasets. - Proficient in Python with data analysis libraries (pandas, NumPy, scikit‑learn). - Experience building visualizations and maintaining dashboards. - Critical thinking and problem‑solving skills; ability to translate complex data insights into clear business recommendations. - Familiarity with uncertainty measurement methods (Bayesian, Frequentist). - Knowledge of experimental design, causal inference, A/B testing, or hypothesis testing. - Excellent communication and stakeholder‑management abilities. **Required Education & Certifications** - Master’s degree or higher in Statistics, Mathematics, Economics, Finance, or a related quantitative field.