Staff Analyst, Investor Analytics

🔥 13 hours ago

🌐 United States, Canada – Remote

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💵 $157k - $217.5k / year

⏰ Full Time

🔴 Lead

🧐 Analyst

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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Logo of Upstart

Upstart

1001 - 5000 employees

🚘 Automotive

💼 Consulting

🏥 Healthcare

Automotive • Consulting • Healthcare

Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. The company focuses on revolutionizing lending and credit risk evaluation by leveraging its AI marketplace, which allows for higher approval rates and lower loss rates for Upstart-powered banks and credit unions. Recently, Upstart has expanded its offerings to include automobile refinancing. With a mission to enable effortless credit based on true risk, Upstart is also known for its digital-first lending experience and holds a significant position in the financial services sector.

📋 Description

• Engage directly with capital investors to showcase Upstart’s platform and craft tailored capital solutions for the home equity program • Own the HELOC credit performance narrative, including arrears, roll rates, vintage and cohort loss curves, model calibration, and feature importance • Explain portfolio performance and forward-risk implications to investors, partners, and internal leadership • Produce recurring yield, default, and prepayment performance reporting • Help model and steer deal strategy for capital partners • Develop financial models, data pipelines, and automated credit monitoring and reporting infrastructure • Use agentic AI tools such as Claude Code and Codex to automate analytics pipelines and recurring reporting • Collaborate with Machine Learning, Product, Engineering, and Finance teams on HELOC credit metrics, narratives, and forecasts • Mentor junior team members and elevate data, credit, and analytics expertise

🎯 Requirements

• 5+ years of professional experience in financial services, focused on credit and debt, including hands-on loan portfolio performance and credit risk experience • Hands-on proficiency in Python and SQL • Experience analyzing and explaining portfolio credit performance, including delinquency and arrears, roll rates, vintage loss curves, and model calibration • Expertise working with large datasets and data modeling • Experience building robust data pipelines • Experience using Databricks, Redshift, DBT, and business intelligence tools • Degree in Finance, Economics, Statistics, Engineering, Data Science, or another quantitative field • East/West coast time-zone availability • Able to live and work in the U.S. or Canada outside Quebec • Preferred: cross-functional collaboration, executive-level data storytelling, Tableau/PowerBI/Looker, HELOC/home equity/mortgage credit, financial modeling, deal analytics, agentic coding tools such as Claude Code or Codex, model explainability and calibration

🏖️ Benefits

• Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly • 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually • Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) • Comprehensive medical, dental, vision, and wellness coverage/resources • Supplemental health coverage for Canada • Health Savings Account contributions for eligible plans (US only) • Life insurance and disability coverage • Paid time off, sick leave, and company holidays • Paid family and parental leave • Family-centered fertility, parenthood, and caregiving benefits • Employee Assistance Program offering mental health support and life-centered resources • Financial planning tools and financial concierge service (US only) • Annual wellness allowance • Annual productivity allowance for relevant work tools and resources • Team events, all-company updates, and employee resource groups • Catered lunches and stocked micro-kitchens when working from offices • Flexible digital-first work arrangements • Regular team onsites and in-person meetings

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