Fraud Strategy Analyst (All Levels)

ABOUT RAMP At Ramp, we’re rethinking how modern finance teams function in the age of AI. We believe AI isn’t just the next big wave. It’s the new foundation for how business gets done. We’re investing in that future — and in the people bold enough to build it. Ramp is a financial operations platform designed to save companies time and money. Our all-in-one solution combines payments, corporate cards, vendor management, procurement, travel booking, and automated bookkeeping with built-in intelligence to maximize the impact of every dollar and hour spent. More than 50,000 businesses, from family-owned farms to e-commerce giants to space startups, have saved $10B and 27.5M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over $100 billion in purchases each year. Ramp’s investors include Lightspeed Venture Partners, Thrive Capital, Sands Capital, General Catalyst, Founders Fund, Khosla Ventures, Sequoia Capital, Greylock, Redpoint, and ICONIQ, 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 https://www.fastcompany.com/91038883/ramp-most-innovative-companies-2024 list and LinkedIn’s Top U.S. Startups https://www.linkedin.com/pulse/linkedin-top-startups-2024-50-us-companies-rise-linkedin-news-hxote/?trackingId=uBI29YlAOxikbTI7cdvG4g%3D%3D for more than 3 years, as well as the Forbes Cloud 100 https://www.forbes.com/sites/richardnieva/2024/08/06/ramp-cloud-100/, CNBC Disruptor 50 https://www.cnbc.com/2024/05/14/ramp-cnbc-disruptor-50.html, and TIME Magazine’s 100 Most Influential Companies https://time.com/collection/time100-companies-2023/6285147/ramp/. About the Role As a member of Ramp's Fraud Strategy team, you will leverage data to develop and optimize fraud strategies, including underwriting (KYC/B, OFAC, fraud risk) and customer management (payment, transactions, account take-over) strategies. This role requires an understanding of fraud concepts & data sources, fluency with data, and the ability to drive a broad set of projects fairly independently. The role also requires the ability to work with cross-functional teams (product, engineering, operations, finance, marketing, sales, and design) to influence and execute risk strategies.  You will be given significant ownership of your projects, with the freedom and autonomy to innovate and execute your ideas, empowering you to do your best work and make a meaningful impact. As you successfully drive impactful changes to our fraud prevention policies, you will be entrusted with larger projects and more strategic initiatives, expanding your influence within the company. What You’ll Do - Leverage external and internal performance data to come up with insights to develop best-in-class fraud policies (e.g. identity/first-party fraud, transaction fraud, account takeover fraud, KYC/B, etc.) that will create value for Ramp and its customers - Deep dive into individual fraud events to perform root cause analyses, and combine the insights with a data-driven approach to develop fraud defenses - Partner with product, engineering, and design teams to execute fraud policies and features - Implement fraud risk metric monitoring by researching/resolving risk events, and developing levers that mitigate risk factors - Partner with data scientists to build and leverage fraud risk models in Ramp’s risk policy - Drive Ramp’s customer experience by diving deep into the flow of funds (repayments, chargebacks, etc.)  - Research emerging underwriting and fraud trends to innovate on Ramp's decision systems and policies What You Need - Minimum 2 years of experience in fraud risk management or quantitative strategy role - Minimum 2 years of experience using SQL, Python, or R for data retrieval and manipulation  - Excellent written and verbal communication skills Nice to Haves - Experience in high-growth startups - Experience within consumer/corporate/small business cards, payments, invoices, lending, or related industries We are hiring analysts across multiple levels. If you are excited to work on complex, strategic problems in the fraud domain and help build world-class user experiences while protecting Ramp from bad actors, we encourage you to apply. Compensation - For candidates located in NYC or SF, the target pay range for this role is $102,300 - $220,000 - For candidates located in all other locations, the target pay range for this role is $92,100 - $200,000. - Analyst pay range: $92,100 - $128,000 - Associate pay range: $108,00 - $150,400 - Senior Associate pay range: $137,000 - $190,000 - Lead pay range: $160,000 - $220,000 BENEFITS (FOR U.S.-BASED FULL-TIME EMPLOYEES) - 100% medical, dental & vision insurance coverage for you - Partially covered for your dependents - One Medical annual membership - 401k (including employer match on contributions made while employed by Ramp) - Flexible PTO - Fertility HRA (up to $10,000 per year) - Parental Leave - Unlimited AI token usage - Pet insurance - Centralized home-office equipment ordering for all employees - Health and Wellness stipend - In-office perks: lunch, snacks, drinks, and more - Budget for intra-office travel - Relocation support to NYC or SF (as needed) REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf. OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process. Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice