Data Analytics Senior Manager

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 can live and work anywhere in the U.S. 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
As a Data Analytics Senior Manager at Upstart, you will lead our personal loan data analytics team. You’ll be responsible for driving understanding, insights and decision making relating to our personal loan credit and financial performance. You’ll partner with our Capital Markets team and Lending Partnership team to help our investors & external partners (banks and credit unions) to take advantage of our unique technology to achieve their business goals.
Responsibilities include:

• Own personal loan credit analytics and financial analytics (e.g. loan cash flow modeling to support secondary sales / securitizations)
• Develop vision, set roadmaps and lead execution for analytical frameworks and projects
• Lead and develop a high performing team of analysts, provide coaching and technical guidance for the team
• Partner with business, finance, product and machine learning teams, connecting requirements and implications and ensuring seamless cross-functional collaboration

Location, Time zone and travel requirements
[Position location] This role is available in the following locations: Remote; San Mateo, CA
[Time zone requirements] The team operates on the West coast time zones.
[Travel requirements] This team has regular onsite collaboration sessions. These occur 5 days per Month at the San Mateo office. If you need to travel to make these meetups, Upstart will cover all travel related expenses.
How you’ll make an impact (1-5 bullet points)
Key expectations that indicate what it’s like to be in the role day-to-day

• Engage with Capital Markets and Lending Partnership leads, and key external parties to build understanding of Upstart’s personal loan credit performance, and confidence to invest via our platform.
• Partner across Machine Learning, Capital Markets, Lending Partnership, and Finance teams to define and execute a strategy to continuously improve our reporting and analytics capabilities.
• Coach and develop a high performing team of analysts.

Minimum Qualifications (MQs) (maximum Of 4 Bullets)

• Degree in Economics, Mathematics, Engineering or other quantitative field
• Experience in credit analytics, valuation, and/or financial analytics
• 7+ years work experience in increasingly senior analytical roles in technology and finance industry
• 5+ years experience leading & developing medium (5+ person) teams of analysts and/or data scientists
• Hands-on experience with large datasets and complex financial modeling

Preferred Qualifications (PQs) (maximum Of 6 Bullets)

• Ability to craft executive-ready narratives around complex business or performance topics, and to successfully influence and drive C-level decision-making
• Experience in consumer lending, and/or knowledge of the consumer finance market, capital markets
• Skills to navigate and lead a team through periods with changing or competing priorities
• Demonstrated ability to work collaboratively and in deep partnership with cross-functional colleagues especially in Finance, Product, Data Engineering, ML teams

What you’ll love (NOT TO BE EDITED–this is standardized for all job descriptions)

• Competitive Compensation (base + bonus & equity)
• Personal Development and Technology & Ergonomic Budgets
• 401(k) and Employee Stock Purchase Plan (ESPP)
• Catered lunches + snacks & drinks
• Clubs and Activities (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams)
• Comprehensive medical, dental, and vision coverage
• Generous vacation policy
• Life insurance and disability benefits

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 this 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). Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. The salary listed below for sales roles is On Target Earnings which includes both salary and commission, assuming 100% target achievement.
United States | Remote - Anticipated Base Salary Range
$177,100—$245,000 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