Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ 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 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 member of Ramp's Risk Strategy & Operations team, you will leverage data to develop and optimize credit strategies.
Credit is one of Ramp's most consequential products. Every policy change affects how customers can grow their usage, and how responsibly Ramp scales up while managing risk. Credit Risk Strategy owns these tradeoffs end to end.
In this role, you will own or help build strategy across credit risk areas like credit limits, payment speed, and collections. You'll take ambiguous problems, get to the data, prototype the solution, and push the change with Product, Engineering, Data Science, Risk Operations, Finance, Customer Experience, and Compliance.
AI fluency is required. We use AI as a core pillar of our risk management stack, and you will be prototyping and managing related Agents and tools. You should already be using tools like Claude Code, Codex, or similar AI tools to write code, explore data, prototype apps, automate workflows, and check your own work. You do not need to be a software engineer, but you do need to use AI to ship something runnable or inspectable enough to test, improve, and hand off.
We are looking for builders with high agency and high urgency: people who prototype the workflow, not just write the recommendation for someone else to build.
What You'll Do
Own credit risk strategy for areas like model prototyping, credit limits, payment speed, collections, etc.
Use SQL, quantitative reasoning, and credit risk judgment to investigate patterns, size opportunities, define policy changes, and pressure-test recommendations.
Build the first useful version when the workflow does not exist: a tool, app, dashboard, agent, notebook, QA loop, monitor, or decisioning process.
Use AI tools every day to move faster on research, analysis, coding, synthesis, writing, verification, and follow-through.
Build AI into credit risk workflows: feature exploration, policy monitoring, case review, exception handling, decision support, documentation, and human-in-the-loop QA.
Investigate new data sources and model features; evaluate signal quality, coverage, failure modes, and how they would change credit decisions.
Make ambiguous credit risk decisions within your surface area, balancing loss, customer experience, operational burden, growth, compliance, and risk-adjusted returns.
Partner with Product, Engineering, Design, to execute and build the risk management infrastructure
What You Need
Minimum 2 years of experience in credit risk management or quantitative strategy role
Minimum 2 years of experience using SQL or Python for data retrieval and manipulations
AI fluency you can demonstrate live: name the tools, show an artifact, explain a recent failure mode, and walk through how you verified the output before using it in a credit risk decision.
Ownership in ambiguity: you define the question, get the data, make the call, communicate the tradeoffs, and drive follow-through without waiting for perfectly scoped work.
Strong communication: you can compress a complex credit risk decision into a clear narrative that leadership and cross-functional partners can act on.
Nice-to-Haves
Previous experience building credit risk in similar Card or expense management products
Previous experience in high-growth startups or environments where the operating model changed quickly.
Previous experience with Operations teams
Compensation
We are open to hiring at multiple levels for this role (Analyst, Associate, or Senior Associate). Level is determined during the interview process.
The expected base salary ranges are:
Analyst: $108,000 to $148,000
Associate: $140,000 to $192,000
Senior Associate: $160,000 to $200,000
These ranges reflect base salary for New York City and do not include equity or benefits, both of which this role is eligible for.
Benefits available to all full-time Ramp employees (Global)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 support to NYC or SF (as 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.
Ramp Applicant Privacy Notice
Skills Required
- Minimum 2 years of experience in credit risk management or quantitative strategy
- Minimum 2 years experience using SQL or Python for data retrieval and manipulation
- Demonstrable AI fluency (name tools, show artifact, explain failure modes, verify outputs)
- Ownership in ambiguity: define questions, get data, make decisions, drive follow-through
- Strong communication: distill complex credit risk decisions into clear narratives
- Previous experience building credit risk for card or expense management products
- Previous experience in high-growth startups or fast-changing operating models
- Previous experience working with Operations teams
Ramp Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ramp and has not been reviewed or approved by Ramp.
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Fair & Transparent Compensation — Fair & Transparent Compensation: Pay is positioned as competitive or top-of-market in core technical roles, with strong base pay and total compensation ranges cited for engineers and product roles. Compensation is also framed as including meaningful equity alongside salary, making offers feel compelling versus many startup benchmarks.
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Healthcare Strength — Healthcare Strength: Healthcare coverage is described as comprehensive, often including medical, dental, and vision, with additional primary-care access via a One Medical membership. The package is portrayed as above-average on employer coverage for employees, increasing perceived value of the benefits bundle.
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Retirement Support — Retirement Support: A 401(k) with an employer match is consistently included as a core benefit. Immediate or meaningful matching is presented as a concrete financial benefit that goes beyond a basic plan offering.
Ramp Insights
What We Do
Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. More than 10,000 customers cut their expenses by 3.5% per year and closing their books 8x faster by switching to the Ramp platform. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year. Ramp continues to grow at an increasingly large scale, more than doubling its revenue run rate in the first half of 2022. Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, 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 was named Fast Company’s most innovative finance company in 2022.
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