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Credit Risk Associate

Join Ramp as a Credit Risk Associate to leverage data and AI in optimizing credit strategies for businesses.

Location
New York, NY (HQ)
Compensation
$140k–$192k/yr
Level
mid
Type
full time

Posted by employer 1 month ago

First seen on Joblaze 1 month ago

Last verified on the company career page 9 hours ago

Skills & Technologies

AI/ML SQL Python Flexible on stack

AI in the day-to-day

Use AI tools every day to move faster on research, analysis, coding, synthesis, writing, verification, and follow-through.

Requirements

Experience
2+ years

Not disclosed in this posting: work arrangement, visa sponsorship.

Benefits

401k Match Flexible PTO Health Insurance Relocation Assistance Parental Leave

Joblaze summary

In the role of Credit Risk Associate at Ramp, the individual will focus on developing and optimizing credit strategies by analyzing data and making informed decisions on credit limits, payment speed, and collections. Proficiency in SQL and AI tools is essential, as the position requires leveraging these technologies to prototype solutions and enhance risk management workflows. This role is ideal for candidates with at least two years of experience in credit risk management or quantitative strategy, particularly those who thrive in dynamic environments and can navigate ambiguity effectively.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze August 13, 2026. Last confirmed on Ramp's careers page October 9, 2026.
  • Salary band is in line with the typical range for comparable tech roles (median ~$129,600).
  • Starts above 90% of 311 comparable mid other roles in United States that list Python we track (median $112,000 across 60 companies). See Python salary trends
  • Python appears in 17% of 3087 comparable mid other roles in United States; AI/ML appears in 3.4% of 3087 comparable mid other roles in United States.

Quick facts

What's the salary range?
Ramp lists $140,000–$192,000 for this role.
How much experience is required?
At least 2 years of relevant experience for this Credit Risk Associate role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Python, SQL.
What seniority level is this role?
Ramp targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Credit Risk Associate role at Ramp.

From the original posting

The problems are high-stakes, data-dense, and unforgiving.

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.

  • 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

  • Fertility HRA (up to $10,000 per year)

  • Pet insurance

  • In-office perks: lunch, snacks, drinks, and more

Canada

  • Group medical, dental, and vision coverage through Sun Life

  • Life, AD&D, and disability coverage

  • Fertility drug coverage (up to $4,000 lifetime)

United Kingdom

  • Private medical insurance through Freedom Elite

 
 
 

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