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Risk Strategy Intern in New York

RampNew York City, NYPosted 5 hours ago

Pay
$100k – $120k
per year
Type
Internship
Summer 2027
Where
New York City, NY
Who
Bachelor's or Master's or PhD
Students
Apply by
Dec 13, 2026
Date from the posting

About Ramp

Ramp is building smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. The platform automates how over $275B in annualized spend moves across 85,000+ companies, covering payment authorization, risk flagging, spend categorization and closing books.

The problems are high-stakes, data-dense and unforgiving. Ramp looks for people with high agency and urgency, valuing slope over intercept and what you have built over where you trained. Everyone is a builder who owns problems end to end and makes consequential decisions.

The median Ramp customer saves 7.5% and grows revenue 16% in their first year.

About the Role

As a Risk Strategy Intern, you will use data, analytics and AI to develop strategies that protect Ramp and its customers while enabling business growth.

You can join the Fraud Strategy, Onboarding Risk or Portfolio Risk team, gaining hands-on experience with real business problems. You will work with cross-functional partners, analyze data and help build scalable solutions for managing risk.

This is a 12-week summer internship based in New York City.

What You Will Do

  • Analyze data to identify trends, uncover insights and recommend risk strategy improvements
  • Use SQL and AI tools to investigate business problems and support data-driven decisions
  • Help develop and optimize risk policies across fraud prevention, customer onboarding and portfolio management
  • Partner with Product, Engineering and Data Science teams to implement solutions
  • Research emerging risk trends and explore ways to improve processes through AI and automation
  • Present findings and recommendations to stakeholders

Nice to Haves

  • Experience with Python or other data analysis tools
  • Previous internship or project experience in data analysis, modeling or business strategy
  • Interest in fintech, fraud prevention or credit risk management

Skills mentioned

  • SQL
  • Python
  • Data Analysis
  • AI/LLMs

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