Credit Risk Associate

Ramp

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
New York, NY
Salary
$108,000–$200,000 / yr
Posted
30 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $166k
This role $154k
$97k most similar roles pay here $211k

This role pays less than 58% of similar roles. Most pay $131,000–$200,000 — the shaded band above. At the midpoint, this role pays about $154k versus about $166k for comparable roles.

Based on 239 similar postings.

Employer

About Ramp

Ramp is a corporate spend management platform providing corporate cards, expense management, and accounts payable automation tools to help businesses control spending and operate more efficiently. Industry: Financial Technology & Corporate Spend Management

Ramp currently has 34 open roles on FindRole.

Listed pay typically runs $168,000–$297,330 across 34 roles with salary data.

Most-posted roles

View all roles at Ramp

At a glance

TL;DR · Credit Risk Associate

As a Credit Risk Associate on the Risk Strategy & Operations team, you will develop and optimize credit strategies regarding credit limits, payment speed, and collections. You will tackle ambiguous problems by analyzing data to investigate patterns, size opportunities, and pressure-test policy changes while balancing risk against customer experience and growth. The role requires building functional tools, dashboards, or agents to automate workflows and integrate AI into the core risk management stack. To succeed, you must possess at least two years of experience in credit risk management or quantitative strategy, along with proficiency in SQL and Python for data manipulation. You must demonstrate AI fluency by using tools like Claude Code or Codex to write code and prototype applications. Your work involves evaluating new data sources and model features to inform critical decisions regarding the company's core financial products.

What you'll do

  • Own credit risk strategy for areas including model prototyping, credit limits, payment speed, and collections.
  • Use SQL and quantitative reasoning to investigate data patterns and pressure-test policy recommendations.
  • Build functional tools, apps, dashboards, or agents to automate workflows where no process currently exists.
  • Integrate AI tools into daily workflows for research, analysis, coding, and automated risk management tasks.
  • Evaluate new data sources and model features to determine their impact on credit decisions.
  • Make complex credit risk decisions by balancing loss, customer experience, growth, and compliance requirements.
  • Partner with Product, Engineering, and Design teams to build and execute risk management infrastructure.

What we're looking for

  • Minimum 2 years of experience in credit risk management or a quantitative strategy role.
  • Minimum 2 years of experience using SQL or Python for data retrieval and manipulation.
  • Demonstrated AI fluency, including the ability to use tools like Claude Code or Codex to build prototypes and automate workflows.
  • Ability to navigate ambiguity by defining questions, gathering data, and driving follow-through independently.
  • Strong communication skills to translate complex credit risk decisions into clear narratives for leadership and cross-functional partners.
  • Experience building credit risk in similar card or expense management products (preferred).
  • Experience in high-growth startups or rapidly changing operating environments (preferred).
  • Experience working with operations teams (preferred).

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