Senior Analytics Manager Technical Lead
Senior Analytics Manager Technical Lead
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Job Description
About Upstart
Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstarts AI marketplace Upstartpowered banks and credit unions can have higher approval rates and lower loss rates across races ages and genders while simultaneously delivering the exceptional digitalfirst lending experience their customers demand. More than 80 of borrowers are approved instantly with zero documentation to upload.
Upstart is a digitalfirst 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 wed love to hear from you!
The Team:
Upstarts Credit & Investor Analytics team is at the forefront of AI/MLdriven credit lending across the organization. Our team employs advanced analytical and technical prowess to deliver comprehensive support in Upstarts lending platform. The Credit Analytics team is building out foundational frameworks and infrastructures on loan performance and forecasting while the Investor Analytics team plays a pivotal role in securing capitala critical function that powers our business.
As a Senior Analytics Manager Technical Lead at Upstart you will join our Credit & Investor Analytics horizontal team. Youll take a leadership stance in designing and developing analytics tools data infrastructure and analytical frameworks that support insights and decisions concerning credit performance and strategies. Youll collaborate closely with other Data Analytics Machine Learning and Product and Engineering teams to spearhead initiatives that support Upstarts multiproduct growth and extend our market leadership in lending.
How youll make an impact
- Lead the development of datadriven analytics solutions for credit risk portfolio performance and investor reporting
- Oversee the architecture and development of our data infrastructure analytics tools and automated solutions
- Collaborate with analysts data scientists engineers and business stakeholders to drive data initiatives
- Ensure data integrity scalability and compliance with regulatory and investor requirements
- Mentor and guide a team of analysts and engineers fostering a culture of innovation and excellence
Minimum Qualifications
- 7 years in data science or engineering with at least 3 years in a leadership role
- Strong SQL and either Python or R skills; experience with data visualization tools (e.g. Mode Tableau Looker Power BI)
- Proficiency in working with large datasets ETL processes and cloud data platforms (e.g. Databricks DBT Airflow)
- Deep understanding of credit risk modeling underwriting and portfolio performance analysis
- Strong ability to mentor teams and drive strategic initiatives
- Degree in Economics Statistics Engineering Data Science or other quantitative fields
Preferred Qualifications
- Experience with structured finance securitization or investor reporting
- Demonstrated ability to work collaboratively and in deep partnership with crossfunctional colleagues especially in Finance Product Data Engineering ML teams
- Experience in consumer lending strategy and/or investment experience in consumer credit capital markets private credit structured products
Position location This role is available in the following locations: Remote
Time zone requirements The team operates on the 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 inperson collaborating via regular onsites. The inperson sessions cadence varies depending on the team and role; most teams meet once or twice per quarter for 24 consecutive days at a time.
What youll love:
- Competitive Compensation (base bonus & equity)
- Comprehensive medical dental and vision coverage
- Personal Development and Technology & Ergonomic Budgets
- Life insurance and disability benefits
- Clubs and Activities (Game Nights Fitstarters Superwomen Book Club Investing Club Money Discussions Photography Club and Basketball teams)
- Generous vacation policy
- 401(k) and Employee Stock Purchase Plan (ESPP)
- Catered lunches snacks & drinks
#LIMidSenior
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 locationwith our digital first philosophy Upstart uses compensation regions that vary depending on location. Individual pay is also determined by jobrelated 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).
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 preemployment testing or otherwise participating in the employee selection process please email
Manager
Employment Type
Full Time
Key Skills
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