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Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ 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 7.5% 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.
As a Risk Strategy Intern at Ramp, you’ll use data, analytics, and AI to help develop strategies that protect Ramp and our customers while enabling business growth.
You’ll have the opportunity to join our Fraud Strategy, Onboarding Risk, or Portfolio Risk teams, gaining hands-on experience solving real business problems. You’ll collaborate with cross-functional partners, analyze data, and help build scalable solutions that improve how Ramp manages risk.
This is a 12-week summer internship based in New York City.
Analyze data to identify trends, uncover insights, and recommend improvements to risk strategies
Use SQL and AI tools to investigate business problems and support data-driven decision-making
Help develop and optimize risk policies across fraud prevention, customer onboarding, and portfolio management
Partner with cross-functional teams, including Product, Engineering, and Data Science, to implement solutions
Research emerging risk trends and explore opportunities to improve processes through AI and automation
Present findings and recommendations to stakeholders
Currently pursuing a B.S. or higher in Computer Science or a related technical field, graduating December 2027 or later, with coursework or project experience in data science, business analytics, machine learning, or AI.
Experience with SQL for data analysis and querying
Hands-on experience using AI/LLMs to solve problems through coursework, internships, or personal projects
Strong analytical and problem-solving skills, with an interest in using data to solve business challenges
Excellent written and verbal communication skills
Curiosity, willingness to learn, and ability to thrive in a fast-paced environment
Experience with Python or other data analysis tools
Previous internship or project experience involving data analysis, modeling, or business strategy
Interest in fintech, fraud prevention, or credit risk management
Flexible PTO
Centralized home-office equipment ordering
Health and wellness stipend
Budget for intra-office travel
Weekly coffee stipend
100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
One Medical annual membership
401(k), including employer match on contributions made while employed by Ramp
Fertility HRA (up to $10,000 per year)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
Pet insurance
In-office perks: lunch, snacks, drinks, and more
Relocation expense coverage to NYC or SF (if needed)
Group medical, dental, and vision coverage through Sun Life
Life, AD&D, and disability coverage
Fertility drug coverage (up to $4,000 lifetime)
Group Retirement Plan with employer match (RRSP + DPSP)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
Employee Assistance Program and virtual care through Lumino Health
Private medical insurance through Freedom Elite
Virtual GP and at-home care via eMed x Livi
Workplace pension through Penfold, with salary sacrifice option
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
If you are being referred for the role, please contact that person to apply on your behalf.
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 email addresses and will never ask for payment or sensitive personal information during the hiring process.
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