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Senior Applied Scientist, Credit Risk

Ramp · New York, NY (HQ)

$166k - $228k/yrRemoteSeniorScience and researchDataDataPosted 2 months ago
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About this role

ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year - far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We’re looking for a Senior Applied Scientist to help drive the future of credit applied science at Ramp. In this role, you will design, build, and optimize the models that power our credit risk systems, helping us make faster, smarter, and more scalable risk decisions for our customers. You’ll work at the intersection of machine learning, statistics, economics, and product strategy. This role requires strong technical depth as well as close collaboration with business, product, data, and engineering partners. You will help identify high-impact opportunities, translate ambiguous business problems into rigorous modeling work, and ship models that operate reliably in production. Applied scientists at Ramp focus on solving quantitative problems across credit, fraud, growth, and our core product by applying the right mix of machine learning, causal inference, structural modeling, and optimization. WHAT YOU'LL DO - Design, build, and optimize machine learning models that support credit risk decisioning and portfolio management at Ramp - Own

Excerpt from the posting Ramp published. Read the full description on their site before applying.

Skills this posting mentions

SQLResearchAnalytics

About Ramp

Ramp is an all-in-one financial operations platform designed to save businesses time and money. Combining corporate cards, expense management, bill payments, accounting automation, procurement, travel, treasury, and more, Ramp empowers finance teams to do their best work. More than 70,000 companies, from family-owned farms to space startups, have saved $10B and 27.5M hours with Ramp since its founding in 2019. Investors include Founders Fund, Thrive Capital, Khosla Ventures, Sequoia, Greylock, Stripe, Goldman Sachs, Coatue, and Redpoint, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies - Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One - as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp has been named to Fast Company's Most Innovative Companies list and LinkedIn's Top U.S. Startups for over 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine's 100 Most Influential Companies. Visit our website for a full list of US state licenses & disclosures: https://ramp.com/legal/state-disclosures

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