Senior Manager, Credit Analytics

About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 1,800 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team Upstart’s Credit Analytics team is at the center of how we understand, forecast, and communicate credit performance across the company. The team builds the frameworks, infrastructure, and insights that connect our AI-driven underwriting, portfolio performance, and funding strategy, ensuring decisions are grounded in a rigorous and forward-looking view of risk and return. As a Principal Credit Analytics , you will lead a key pillar of these functions, credit forecasting & valuation or risk capital analytics—driving high-impact analytics that inform portfolio strategy, financial planning, and funding decisions. You’ll partner closely with Machine Learning, Finance, Product, and Capital teams to translate complex credit dynamics into actionable insights and scalable systems. How you’ll make an impact Own a core analytics domain within Credit Analytics (forecasting & valuation or risk capital), driving execution and continuous improvement of frameworks that power portfolio monitoring, planning, and decision-making Develop and enhance credit forecasting and valuation methodologies , including loss forecasting, scenario analysis, and portfolio performance measurement, ensuring outputs are accurate, explainable, and decision-useful Contribute to risk capital analytics and reporting , supporting funding strategies such as securitizations, warehouse facilities, and forward-flow programs through robust performance tracking, stress scenarios, and risk/return analysis Translate analytics into business impact , delivering clear insights and recommendations that guide product strategy, credit policy, and funding decisions Partner cross-functionally with ML, Finance, Product, Engineering, and Capital teams to align on definitions, metrics, and frameworks, and to integrate analytics into core workflows and decision processes Build and scale analytics infrastructure , including data models, pipelines, dashboards, and reporting tools that enable consistent, self-serve insights across stakeholders Uplevel analytical rigor and processes , establishing best practices for validation, monitoring, and governance of credit models and analytics outputs Minimum Qualifications 7+ years of experience in analytics, credit risk, or quantitative finance within fintech, financial services, or related industries Experience building or applying credit risk / loss forecasting, portfolio analytics, or valuation frameworks in consumer lending or similar domains Exposure to risk capital or structured finance concepts (e.g., securitizations, warehouse facilities, forward flow, or investor reporting) Strong analytical and technical skills, including proficiency in SQL and at least one programming language (Python or R), and experience working with large datasets Ability to translate complex analyses into clear, actionable insights for both technical and non-technical stakeholders Preferred Qualifications Experience partnering with ML / data science teams, particularly in underwriting or model performance monitoring Familiarity with capital analytics, deal economics, and risk/return frameworks Experience building or improving analytics infrastructure (data models, dashboards, automated reporting, GenAI solutions) Exposure to model governance, controls, or audit processes (e.g., SOX, model validation, valuation reviews) Demonstrated ability to influence cross-functional stakeholders and drive alignment across teams 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 still 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. United States | Remote - Anticipated Base Salary Range: $182,300—$252,500 USD Canada | Remote - Anticipated Base Salary Range: $165,800—$210,000 CAD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada) Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada. Health Savings Account contributions from Upstart for eligible plans (US only) Income protection benefits, including life insurance and disability coverage for added financial security Paid time off, sick leave, and company holidays, in line with local requirements Paid family and parental leave to support caregiving and major life moments (duration varies by country) Family-centered benefits to support fertility, parenthood, and caregiving needs Employee Assistance Program (EAP) offering mental health support and life-centered resources Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only) Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from Connection and community through team events, all-company updates, and employee resource groups (ERGs) Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!) For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. 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 View email address on click.appcast.io #J-18808-Ljbffr Upstart