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Senior Analytics Manager, Technical Lead

Upstart

United States

Remote

USD 90,000 - 160,000

Full time

30+ days ago

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Job summary

Join a forward-thinking company as a Senior Analytics Manager, Technical Lead, where you will spearhead the development of cutting-edge analytics tools and frameworks. This role is pivotal in shaping the strategies around credit performance and investor reporting, collaborating with diverse teams to drive innovation and excellence. With a strong emphasis on data integrity and compliance, you will mentor a talented team and ensure the delivery of impactful data solutions. Embrace the opportunity to work remotely while contributing to a culture that values personal development and teamwork. This position offers competitive compensation, comprehensive benefits, and a vibrant community of colleagues.

Benefits

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, etc.)
Generous vacation policy
401(k) and Employee Stock Purchase Plan (ESPP)
Catered lunches + snacks & drinks

Qualifications

  • 7+ years in data science or engineering with leadership experience.
  • Strong SQL and Python or R skills are essential.

Responsibilities

  • Lead the development of data-driven analytics solutions.
  • Oversee architecture and development of data infrastructure.

Skills

Data Science
Leadership
SQL
Python
R
Data Visualization
Credit Risk Modeling
Portfolio Performance Analysis

Education

Degree in Economics
Degree in Statistics
Degree in Engineering
Degree in Data Science

Tools

Databricks
DBT
Airflow
Mode
Tableau
Looker
Power BI

Job description

The Team:

Upstart’s Credit & Investor Analytics team is at the forefront of AI/ML-driven credit lending across the organization. Our team employs advanced analytical and technical prowess to deliver comprehensive support in Upstart’s 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 capital—a critical function that powers our business.

As a Senior Analytics Manager, Technical Lead at Upstart, you will join our Credit & Investor Analytics horizontal team. You’ll 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. You’ll collaborate closely with other Data Analytics, Machine Learning, and Product, and Engineering teams, to spearhead initiatives that support Upstart’s multi-product growth and extend our market leadership in lending.

How you’ll make an impact

  • Lead the development of data-driven 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 cross-functional 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 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.

What you’ll 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
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