Credit Operations Manager

Stripe

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$157,800–$236,800 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $166k
This role $197k
$123k most similar roles pay here $249k

This role pays more than 80% of similar roles. Most pay $139,600–$192,137 — the shaded band above. At the midpoint, this role pays about $197k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About Stripe

Stripe is a financial infrastructure platform for internet businesses, providing payment processing, billing, fraud prevention, and banking-as-a-service APIs to businesses of all sizes globally. Industry: Payments Infrastructure & Financial Technology

Stripe currently has 145 open roles on FindRole.

Listed pay typically runs $199,400–$295,300 across 143 roles with salary data.

Most-posted roles

View all roles at Stripe

At a glance

TL;DR · Credit Operations Manager

The Credit Operations Manager joins the Risk team to lead, motivate, and develop a high-performing team of credit operations analysts. This role involves setting a strategic vision for scalable operations, translating product strategies into operational capabilities, and implementing appropriate credit controls. The manager will oversee systems, processes, and operating models to improve decision quality while mitigating emerging risks. Key responsibilities include managing vendor performance, defining service-level agreements, and partnering with cross-functional teams like Product, Engineering, and Data Science to launch new programs. The role requires expertise in commercial credit underwriting, financial risk modeling, and cash-flow forecasting. Candidates must demonstrate proficiency in using AI-enabled tools for automation and implementing quality controls. The work focuses on the critical domain of conducting credit risk assessments and underwriting small and mid-sized users within a global financial ecosystem.

What you'll do

  • Lead, coach, and develop a high-performing team of credit operations analysts.
  • Translate product strategies into operational capabilities and appropriate credit controls for new and existing products.
  • Evolve systems, processes, and operating models to improve decision quality and scale efficiently.
  • Partner with cross-functional teams to prioritize investments in risk mitigation and operational efficiency.
  • Implement AI-enabled tools and automation while maintaining strict quality controls and change management.
  • Define and manage operating metrics and service-level agreements to drive continuous improvement.
  • Oversee credit-related vendor performance to ensure compliance and high quality standards.

What we're looking for

  • 10-15 years of work experience in commercial credit underwriting.
  • 3-5 years of experience leading credit risk or underwriting teams in a fast-paced, high-growth environment.
  • Experience in financial risk modeling or cash-flow forecasting.
  • Proven track record of building, leading, and developing high-performing teams through goal setting, performance management, and coaching.
  • Strong strategic thinking and problem-solving skills to translate complex challenges into actionable solutions.
  • Excellent communication and stakeholder-management skills with the ability to influence across functions.
  • Demonstrated experience designing, launching, and scaling programs, products, or operational capabilities from planning through implementation.
  • Experience using AI-enabled tools and partnering with technical stakeholders to implement automation, quality controls, and change management.
  • Experience supporting credit-related product launches or translating product capabilities into operational requirements (preferred).
  • Strong knowledge of accounting principles and experience evaluating financial statements and business models across industries (preferred).
  • Experience analyzing data and creating dashboards using SQL (preferred).
  • Experience partnering with engineering teams to develop or improve investigative and decisioning tools (preferred).
  • Bachelor’s degree in a relevant field; advanced degree or certification is a plus (preferred).

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