Senior Analytics Manager, Technical Lead
@ Upstart

Hybrid
$217,400
Hybrid
Full Time
Posted 17 hours ago

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Job Details

About Upstart

Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. With advanced AI tools, more than 80% of borrowers are approved instantly. Most Upstarters work remotely from anywhere in the United States, with key offices in San Mateo, California; Columbus, Ohio; and Austin, Texas.

The Team

The Credit & Investor Analytics team drives AI/ML-powered credit lending strategies. They develop data frameworks, analytics tools, and automated solutions to support insights in credit performance and investor reporting.

Role Overview

As a Senior Analytics Manager, Technical Lead at Upstart, you will lead the design and development of data-driven analytics solutions. You will collaborate with teams across Data Analytics, Machine Learning, Product, and Engineering to improve credit risk assessment and portfolio performance.

How You’ll Make An Impact

  • Lead development of credit risk and investor reporting solutions.
  • Oversee data infrastructure, analytics tools, and automated systems.
  • Collaborate with cross-functional teams to drive data initiatives.
  • Ensure data integrity, scalability, and regulatory compliance.
  • Mentor a team of analysts and engineers.

Minimum Qualifications

  • 7+ years in data science or engineering, with 3+ years in leadership.
  • Strong SQL and proficiency in Python or R.
  • Experience with data visualization tools such as Mode, Tableau, Looker, or Power BI.
  • Expertise in large datasets, ETL processes, and cloud data platforms like Databricks, DBT, and Airflow.
  • Deep understanding of credit risk modeling and portfolio analysis.
  • Degree in Economics, Statistics, Engineering, Data Science or a related field.

Preferred Qualifications

  • Experience with structured finance, securitization, or investor reporting.
  • Ability to work collaboratively with Finance, Product, and ML teams.
  • Experience in consumer lending strategy and private credit markets.

Location & Time Zone

This role is available Remote, operating on West coast time zones. Occasional onsite meetings are arranged quarterly.

What You’ll Love

  • Competitive compensation including bonus and equity.
  • Comprehensive benefits: medical, dental, vision, and 401(k).
  • Generous vacation policy and professional development budgets.
  • Employee clubs, catered meals, and other perks.

Equal Opportunity

Upstart is an Equal Opportunity Employer committed to diversity and inclusion. Reasonable accommodations are available upon request.

Key skills/competency

  • analytics
  • credit risk
  • data infrastructure
  • machine learning
  • SQL
  • Python
  • ETL
  • data visualization
  • mentoring
  • automation

How to Get Hired at Upstart

🎯 Tips for Getting Hired

  • Customize your resume: Align your experience with credit risk analytics.
  • Highlight technical skills: Emphasize SQL, Python/R, and data visualization.
  • Show leadership experience: Detail your team management roles.
  • Research Upstart: Understand their digital-first lending mission deeply.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and data schemas.
Practice Python/R coding challenges.
Familiarize with Databricks and DBT.
Study ETL and cloud data processes.

Behavioral Questions

Describe a time you led a team.
Explain conflict resolution with peers.
Detail a challenging analytics project.
Discuss adapting to rapid change.

Frequently Asked Questions