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StripeStripe

Enterprise Risk Management Lead

Owns the enterprise risk management program for a regulated payments business while engineering AI-driven evidence collection, monitoring, and control automation. Requires 8+ years of risk experience, Python and SQL proficiency, LLM automation familiarity, executive communication skills, and a bachelor's degree.

About the job

Responsibilities

ERM Framework Integration & Execution

  • Drive cross-functional implementation and adoption of the established enterprise risk management framework across business lines and operational functions.
  • Execute annual and semi-annual Risk and Control Self-Assessment (RCSA) cycles, providing independent second-line challenge to first-line risk ratings and control effectiveness.
  • Maintain the Master Control Library, Central Risk Register, and universal Risk Taxonomy with version control, change management, and alignment to emerging threats.
  • Aggregate, analyze, and validate Key Risk Indicators (KRIs) against Board-approved risk appetite thresholds.
  • Trigger formal remediation and Management Action Plans when risk appetite thresholds are breached.
  • Synthesize quantitative risk metrics and qualitative horizon scanning into quarterly Enterprise Risk Scorecards for management and Board reporting.

AI & Control Automation Design

  • Design, write, and deploy automated data-extraction pipelines using SQL and APIs to sample and collect control-verification data from core systems.
  • Build and implement AI/LLM agents to analyze operational logs, policy documents, and compliance records and flag anomalies or control deficiencies.
  • Partner with technical teams to optimize and configure GRC infrastructure, implement automated self-attestation workflows, and remove system bottlenecks.
  • Transition from passive, point-in-time testing to real-time automated dashboards monitoring 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 Four technology-risk consultancy.
  • Proven experience rolling out and integrating risk programs, including RCSAs, KRIs, and control libraries, into active operational business units.
  • Hands-on experience writing Python and SQL to query databases, manipulate data, and interface with web/REST APIs.
  • Experience with modern LLM APIs, prompt engineering, or low-code/no-code workflow automation engines.
  • Exceptional communication skills and experience challenging senior business leaders and translating complex risk data into concise Board-level narratives.
  • Bachelor's degree in Computer Science, Data Science, Finance, Business, or a related quantitative field.

Nice-to-haves

  • Experience in a heavily regulated FinTech environment, digital bank, or complex global payments processor.
  • Knowledge of GRC software architecture, including ServiceNow and Archer, and experience scaling system configurations.
  • Familiarity with international banking risk standards and regulatory expectations, including COSO, ISO 31000, and OCC Heightened Standards.

Skills

Enterprise Risk Management, Operational Risk, Rcsa, Key Risk Indicators, Control Libraries, Python, SQL, REST APIs, LLM APIs, Prompt Engineering, Grc Software, Servicenow, Archer, Coso, Iso 31000

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