About The Position

Stripe MALPB operates in a highly complex, fast-moving regulatory environment. The Risk and Compliance team is responsible for ensuring that our expansion is grounded in a bulletproof governance framework that matches the speed of our technology. Having successfully established our foundational ERM policies, taxonomy, and risk registers, we are entering the integration phase. This team is building the future of "AI-Native" risk management—where governance frameworks are embedded into daily business operations through automated data pipelines, machine learning, and LLM orchestration. As the sole dedicated ERM Lead for Stripe MALPB, you will own the enterprise risk program end-to-end. This is a unique hybrid role designed for a technically fluent risk architect. Roughly 1/3rd of your time will be dedicated to ERM Integration and Execution: rolling out our mature risk framework to the First Line (1LoD), running the RCSA cycle, managing the control library, and synthesizing risk scorecards for executive and Board-level reporting. Roughly 2/3rds of your time will be dedicated to AI and Control Automation Design: acting as a hands-on developer to build and scale LLM tools, automated evidence-collection scripts, and real-time monitoring workflows that eliminate manual compliance overhead.

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 successfully rolling out and integrating risk programs (RCSAs, KRIs, Control Libraries) into active, fast-paced operational business units.
  • Hands-on experience writing Python and SQL to query databases, manipulate data, and interface with standard web/REST APIs.
  • Experience using modern LLM APIs, prompt engineering, or low-code/no-code automated workflow engines to analyze unstructured text or automate routine data tasks.
  • Exceptional communication skills with a track record of effectively challenging senior business leaders and translating complex risk data into concise, Board-level narratives.
  • A Bachelor's degree in Computer Science, Data Science, Finance, Business, or a related quantitative field.

Nice To Haves

  • Prior experience working in a heavily regulated FinTech environment, digital bank, or complex global payments processor.
  • Deep knowledge of GRC software architecture (e.g., ServiceNow, Archer) and how to scale system configurations.
  • Familiarity with international banking risk standards and regulatory expectations (e.g., COSO, ISO 31000, OCC Heightened Standards).

Responsibilities

  • Drive the cross-functional implementation and adoption of the established ERM framework across all Stripe MALPB business lines and operational functions.
  • Execute the annual and semi-annual Risk and Control Self-Assessment (RCSA) cycles, providing robust independent 2LoD challenge to 1LoD risk ratings and control effectiveness.
  • Maintain the Master Control Library, Central Risk Register, and universal Risk Taxonomy, ensuring strict version control, change management, and alignment with emerging threats.
  • Aggregate, analyze, and validate Key Risk Indicators (KRIs) against Board-approved Risk Appetite thresholds; trigger formal remediation and Management Action Plans (MAPs) upon breach.
  • Synthesize quantitative risk metrics and qualitative horizon scanning into the quarterly Enterprise Risk Scorecard for presentation to the Management Risk Committee and the Board of Directors.
  • Design, write, and deploy automated data extraction pipelines (via SQL and APIs) to systematically sample and pull control verification data from core systems.
  • Build and implement AI/LLM agents to perform semantic analysis on operational logs, policy documents, and compliance records, automatically flagging anomalies or control deficiencies.
  • Partner with technical teams to optimize and configure our GRC infrastructure, implementing automated self-attestation workflows and removing system bottlenecks.
  • Transition the bank away from passive, point-in-time testing toward a real-time, automated dashboard environment that monitors key operational and regulatory controls dynamically.
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