Enterprise Risk Management (ERM) Program & Automation Lead, MALPB

At Stripe, a Most Loved Workplace® certified employer in the Financial Services space, Economic infrastructure for the internet, powering ambitious businesses globally..

<h2><strong>Who we are </strong></h2>

<h3><strong>About Stripe</strong></h3>

<p><span style="font-weight: 400;">Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.</span></p>

<h3><strong>About the team</strong></h3>

<p>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.</p>

<p>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.</p>

<h2><strong>What you’ll do</strong></h2>

<p>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.</p>

<ul>

<li>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.</li>

<li>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.</li>

</ul>

<h3><strong>Responsibilities</strong></h3>

<h4><strong>ERM Framework Integration & Execution (1/3rd)</strong></h4>

<ul>

<li><strong>Enterprise Rollout:</strong> Drive the cross-functional implementation and adoption of the established ERM framework across all Stripe MALPB business lines and operational functions.</li>

<li><strong>RCSA Facilitation:</strong> 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.</li>

<li><strong>Control Library & Governance:</strong> Maintain the Master Control Library, Central Risk Register, and universal Risk Taxonomy, ensuring strict version control, change management, and alignment with emerging threats.</li>

<li><strong>Appetite & KRI Monitoring:</strong> Aggregate, analyze, and validate Key Risk Indicators (KRIs) against Board-approved Risk Appetite thresholds; trigger formal remediation and Management Action Plans (MAPs) upon breach.</li>

<li><strong>Board & Executive Reporting:</strong> 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.</li>

</ul>

<h4><strong>AI & Control Automation Design (2/3rd)</strong></h4>

<ul>

<li><strong>Automated Evidence Collection:</strong> Design, write, and deploy automated data extraction pipelines (via SQL and APIs) to systematically sample and pull control verification data from core systems.</li>

<li><strong>LLM Orchestration:</strong> Build and implement AI/LLM agents to perform semantic analysis on operational logs, policy documents, and compliance records, automatically flagging anomalies or control deficiencies.</li>

<li><strong>GRC System Engineering:</strong> Partner with technical teams to optimize and configure our GRC infrastructure, implementing automated self-attestation workflows and removing system bottlenecks.</li>

<li><strong>Continuous Monitoring:</strong> 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.</li>

</ul>

<h2><strong>Who you are</strong></h2>

<p><span style="font-weight: 400;">We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. We are looking for a rare breed of professional: someone with the executive presence to stand up a banking governance program, combined with the hands-on engineering capabilities to automate it themselves.  <br></span></p>

<h3><strong>Minimum requirements</strong></h3>

<ul>

<li><strong>Experience:</strong> 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.</li>

<li><strong>Execution Track Record:</strong> Proven experience successfully rolling out and integrating risk programs (RCSAs, KRIs, Control Libraries) into active, fast-paced operational business units.</li>

<li><strong>Technical Proficiency:</strong> Hands-on experience writing <strong>Python</strong> and <strong>SQL</strong> to query databases, manipulate data, and interface with standard web/REST APIs.</li>

<li><strong>AI/Automation Familiarity:</strong> Experience using modern LLM APIs, prompt engineering, or low-code/no-code automated workflow engines to analyze unstructured text or automate routine data tasks.</li>

<li><strong>Communication & Presence:</strong> Exceptional communication skills with a track record of effectively challenging senior business leaders and translating complex risk data into concise, Board-level narratives.</li>

<li><strong>Education:</strong> A Bachelor's degree in Computer Science, Data Science, Finance, Business, or a related quantitative field.</li>

</ul>

<h3><strong>Preferred qualifications</strong></h3>

<ul>

<li>Prior experience working in a heavily regulated FinTech environment, digital bank, or complex global payments processor.</li>

<li>Deep knowledge of GRC software architecture (e.g., ServiceNow, Archer) and how to scale system configurations.</li>

<li>Familiarity with international banking risk standards and regulatory expectations (e.g., COSO, ISO 31000, OCC Heightened Standards).</li>

</ul>

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