About Ramp

Ramp is a financial operations platform designed to save businesses time and money. Combining corporate cards with expense management, bill payments, vendor management, accounting automation, and more, Ramps all-in-one solution frees finance teams to do the best work of their lives. More than 25,000 companies, from family-owned farms to e-commerce giants to space startups, have saved $1B and 10M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over 35 billion dollars in purchases each year.

Ramps investors include Sequoia, Founders Fund, Thrive Capital, Khosla Ventures, 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 Companys Most Innovative Companies list and LinkedIns Top U.S. Startups for over 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazines 100 Most Influential Companies.

About the Role

As a member of Ramps 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 Ramps 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

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 $5,000 per year)
WFH stipend to support your home office needs
Wellness stipend
Parental Leave
Relocation support for NY
Pet insurance

Other notices

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.