Enterprise Risk Management (ERM) Program Lead, Automation

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔒 Insurance

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Stripe

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

💳 Fintech

🛍️ eCommerce

🤝 B2B

💰 Venture Round on 2021-05

Fintech • eCommerce • B2B

Stripe is a global payments processing platform that enables businesses to accept online and in-person payments. It offers a comprehensive suite of financial services, including payment processing, billing, and revenue management tools, aimed at businesses of all sizes, from startups to enterprises. By providing a developer-friendly API, Stripe allows businesses to streamline their payment operations and embed financial services directly into their applications, facilitating both B2B and B2C transactions.

📋 Description

• Own the Stripe MALPB enterprise risk program end-to-end • Roll out and integrate the ERM framework across business lines and operational functions • Execute annual and semi-annual Risk and Control Self-Assessment cycles and provide independent 2LoD challenge • Maintain the Master Control Library, Central Risk Register, and universal Risk Taxonomy • Monitor Key Risk Indicators against Board-approved Risk Appetite thresholds and trigger remediation plans • Prepare quarterly Enterprise Risk Scorecards for executive and Board reporting • Design and deploy SQL- and API-based automated evidence-collection pipelines • Build and implement AI/LLM agents for semantic analysis of operational logs, policies, and compliance records • Partner with technical teams to optimize and configure GRC infrastructure • Develop continuous, real-time monitoring dashboards for operational and regulatory controls

🎯 Requirements

• 8+ years of experience in enterprise risk management, operational risk, or risk advisory within a regulated financial institution, FinTech, or Big 4 tech-risk consultancy • Proven experience rolling out and integrating RCSAs, KRIs, and Control Libraries into active operational business units • Hands-on Python and SQL experience for querying databases, manipulating data, and interfacing with web/REST APIs • Experience using modern LLM APIs, prompt engineering, or low-code/no-code workflow automation engines • Exceptional communication skills and ability to challenge senior business leaders and translate complex risk data into concise Board-level narratives • Bachelor's degree in Computer Science, Data Science, Finance, Business, or a related quantitative field