Staff Analyst, HELOC

Posted Yesterday
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2 Locations
Remote
157K-218K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
Upstart is dedicated to improving access to credit for all. Why? Because credit really matters.
The Role
As a Staff Analyst, you'll conduct quantitative analysis, administer A/B tests, build data pipelines, and mentor junior analysts while collaborating with Product and Engineering teams.
Summary Generated by Built In

About Upstart

Upstart is the 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 80% of borrowers are approved instantly, with zero documentation to upload.

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 Team

The Analytics team plays the critical role of providing analytical capability across Upstart's organization to enable data-driven decision making. We leverage our analytical and technical skills to support our partners with a multitude of services, some of which include understanding our underwriting models and presenting on trends in our loan performance, analyzing market size opportunities, creating financial models, developing our business intelligence pipeline to enable self-service reporting, and architecting/automating of work processes.

As the Staff Analyst on the Home Analytics team at Upstart, you will be responsible for understanding, presenting, and driving best practices in product analytics and for developing our business intelligence pipeline to enable better decision making. You will partner with our Product, Engineering, and Machine Learning teams to drive understanding, insights and decision making.

How you’ll make an impact

  • Develop and execute data-driven strategies to guide the growth and evolution of the HELOC product.
  • Design, build, and maintain analytics frameworks that help measure product performance, user behavior, and loan outcomes.
  • Guide the measurement roadmap for product initiatives by collaborating closely with Product Managers. You'll lead the design and execution of robust experimentation strategies, including A/B testing and causal inference, to accurately measure impact and drive data-driven product evolution.
  • Conduct deep-dive analyses and modeling to uncover growth opportunities, optimize loan performance, and enhance risk strategies.
  • Communicate insights and recommendations effectively to both technical and non-technical stakeholders, influencing product and business decision.

Minimum Qualifications 

  • 8+ years of experience in product analytics, data science, or a related quantitative role, preferably in fintech, lending, or consumer finance
  • BS in a quantitative field (e.g., Statistics, Economics, Computer Science, Data Science)
  • Proficiency in data analysis tools (SQL, Python / R, Looker / Mode / Tableau, etc.)
  • Experience with A/B testing, causal inference, and experimental design to drive product decisions.
  • Ability to influence product, engineering, and leadership teams through compelling storytelling with data.
  • Comfort with ambiguity and a strategic mindset for solving complex, unstructured problems

Preferred Qualifications

  • Master’s / PhD in a quantitative field (e.g., Statistics, Economics, Computer Science, Data Science)
  • Experience working with lending products, risk modeling, or financial services analytics
  • Background in statistical analysis, predictive modeling, or machine learning, with experience applying these to product or financial decision-making

Position Location - This role is available in the following locations: Remote, San Mateo, Columbus 

Time Zone Requirements - This team operates on the East/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.

#LI-REMOTE
#LI-MidSenior

At Upstart, your base pay is one part of your total compensation package.  The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).

United States | Remote - Anticipated Base Salary Range
$157,000$217,500 USD

Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together. 

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email [email protected]

https://www.upstart.com/candidate_privacy_policy

Top Skills

Databricks
Dbt
Excel
Google Sheets
Looker
Mode
Python
R
Redshift
Snowflake
SQL
Tableau

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The Company
HQ: San Mateo, CA
1,500 Employees
Year Founded: 2012

What We Do

Upstart 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's AI, lenders can approve more borrowers at lower rates across races, ages, and genders, while delivering the exceptional digital-first experience customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload. Founded in 2012, Upstart’s platform includes personal loans, automotive retail and refinance loans, home equity lines of credit, and small-dollar “relief” loans.

If you are energized by the impact you think you could make at Upstart, we'd love to hear from you!

Why Work With Us

Connection to our mission creates a special environment where people feel passionately about the impact they make in the world. Upstart is fast-paced, and we encourage ownership at all levels of the organization. As a result, culture at Upstart is driven by Upstarters. Upstarters are proactive, talented, multi-dimensional and collaborative.

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Upstart Offices

Remote Workspace

Employees work remotely.

Upstart has a digital-first model enabling most Upstarters can live and work anywhere in the U.S. We also offer in-person options from our office locations in San Mateo, California; Columbus, Ohio; and Austin, Texas.

Typical time on-site: None
HQSan Mateo, CA
Austin, TX
Columbus, OH
New York, NY
Learn more

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