# Enterprise Risk Management Lead

**Company:** [Stripe](https://hotfix.jobs/companies/stripe)
**Location:** Remote
**Role:** Revenue Operations
**Experience:** 8+ years
**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
**Posted:** 2026-08-07

> 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.

## Job Description

## 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.

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