Risk Strategy Intern

Quick Facts

• Role: Risk Strategy Intern

• Duration: 12-week summer internship

• Focus: Data, analytics, and AI to build and optimize risk strategies

Description

Use data, analytics, and AI to develop strategies that protect Ramp and its customers while enabling business growth. Work with teams in Fraud Strategy, Onboarding Risk, or Portfolio Risk to analyze data, build scalable solutions, and present recommendations to stakeholders.

Responsibilities

• 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

• Collaborate with 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

Requirements

• Currently pursuing a B.S. or higher in Computer Science or a related technical field; graduating December 2027 or later

• 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 through coursework, internships, or personal projects

• Strong analytical and problem-solving skills and interest in using data to solve business challenges

• Excellent written and verbal communication skills

• Curiosity and ability to learn in a fast-paced environment

Benefits

• Flexible PTO

• Health and wellness stipend

• Weekly coffee stipend

• Health coverage: 100% medical, dental, and vision for you (with partial coverage for dependents, varies by location)

• 401(k) with employer match (varies by location)

• Parental leave benefits (varies by location)

• Fitness/wellness and in-office perks (lunch, snacks, drinks)

• Relocation expense coverage to NYC or SF (if needed; varies by location)