Risk Strategy Intern

About [Employer]

[Employer] 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 [Employer], everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.

The median [Employer] customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without [Employer]. We believe every ambitious company deserves the same.

If you want to build systems that directly shape how companies move and manage billions, [Employer] is the place to do it.

About the Role

As a Risk Strategy Intern at [Employer], you’ll use data, analytics, and AI to help develop strategies that protect [Employer] 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 [Employer] manages risk.

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

What You’ll Do

• 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

What You Need

• 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

Nice to Haves

• 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

Benefits available to all full-time [Employer] employees (Global)

• Flexible PTO
• Centralized home-office equipment ordering
• Health and wellness stipend
• Budget for intra-office travel
• Weekly coffee stipend

United States

• 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 [Employer]
• 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)

Canada

• 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

United Kingdom

• 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

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: [Employer] will only contact you through official @[Employer].com email addresses and will never ask for payment or sensitive personal information during the hiring process.

[Employer] Applicant Privacy Notice