Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. As we transitioned to being a public company, we’re now poised to leverage our domain expertise and revolutionize every aspect of lending and credit risk evaluation. We’ve recently expanded our offerings to include automobile refinancing and we plan to take on more verticals as the business grows.
Personal Loans • FinTech • Marketplace Lending • Artificial intelligence • Finance
1001 - 5000 employees
March 14
🇺🇸 United States – Remote
💵 $157k - $217.5k / year
⏰ Full Time
🔴 Lead
📉 Data Analyst
🦅 H1B Visa Sponsor
Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. As we transitioned to being a public company, we’re now poised to leverage our domain expertise and revolutionize every aspect of lending and credit risk evaluation. We’ve recently expanded our offerings to include automobile refinancing and we plan to take on more verticals as the business grows.
Personal Loans • FinTech • Marketplace Lending • Artificial intelligence • Finance
1001 - 5000 employees
• Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. • Most Upstarters live and work anywhere in the United States. • Upstart’s Servicing Analytics team plays a critical role of providing analytical capability for Upstart's servicing functions to enable data-driven decision making. • As the Staff Data Analyst on the Servicing Analytics team, you will play a pivotal role in influencing Upstart’s success. • Partnering closely with our Servicing product management, Operations, engineering, and ML teams, you’ll work directly with key stakeholders, helping drive understanding, insights, decision-making, and data infrastructure relating to the development, optimization, and enhancement of our recoveries and collections strategy. • This role involves conducting in-depth analyses, building business intelligence pipelines, designing A/B tests, and collaborating with cross-functional teams to drive impacts.
• 8+ years work experience in increasingly senior analytical roles in technology and finance industry • Strong background in credit, product, or operations analytics, with hands-on proficient in SQL, Python and/or R • Exceptional track record of deriving actionable insights from analysis and analytical storytelling • Experience working with large datasets, unstructured data, data modeling, and data pipelines using tools like Databricks, DBT, Looker, Snowflake, Redshift, Tableau, Mode • Degree in Economics, Statistics, Mathematics, Engineering, Data Science or other quantitative fields, providing a solid grounding in analytical and problem-solving skills essential for success • Strong analytical and quantitative background with experience in conducting and evaluating A/B tests, ideally in Financial and/or Operational related fields • Expertise in consumer lending, and knowledge of post origination servicing and/or operations • Skilled at crafting executive-ready narratives around complex business topics and successfully influence VP+ decision making • Demonstrated ability to work collaboratively and in deep partnership with cross-functional teams • Demonstrated ability to balance multiple workstreams and priorities; experience influencing up and cross functionally to maximize positive impact to the organization • Experience in coaching and mentoring junior team members on technical subjects
• Competitive Compensation (base + bonus & equity) • Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart • 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings • Employee Stock Purchase Plan (ESPP) • Life and disability insurance • Generous holiday, vacation, sick and safety leave • Supportive parental, family care, and military leave programs • Annual wellness, technology & ergonomic reimbursement programs • Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering • Catered lunches + snacks & drinks when working in offices
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