Senior Staff Risk Engineer
Technology Vision & Strategy
Define and drive the multi-year technical vision and architecture for the Fintech Risk Platform, aligning with Intuit’s broader financial ecosystem strategy.
Architect systems capable of supporting $1T+ annual money movement with industry-leading availability, latency, and security guarantees.
Establish a forward-looking roadmap for risk intelligence, leveraging AI/ML and GenAI to evolve from reactive fraud detection to proactive risk prevention and autonomous decisioning.
Balance risk mitigation, customer experience, and growth, ensuring optimal trade-offs between fraud prevention, false positives, and customer friction.
System Architecture & Cross-Functional Design
Lead the design of end-to-end risk decisioning systems, spanning transaction processing, identity verification, fraud detection, compliance, and dispute handling.
Drive cross-functional architecture across payments, ledgers, identity, analytics, and customer platforms to ensure cohesive and scalable solutions.
Establish real-time and batch risk pipelines that unify signals across the ecosystem to deliver consistent, low-latency decisions.
Ensure systems are auditable, explainable, and compliant with evolving financial regulations.
Building High-Impact, Planet-Scale Systems
Design and oversee platforms that operate at extreme scale, handling billions of transactions with sub-second risk decisions.
Lead the development of resilient, fault-tolerant distributed systems with strong consistency guarantees for financial correctness.
Drive innovations in risk scoring, anomaly detection, and behavioral modeling to significantly reduce fraud and abuse.
Optimize systems to reduce fraud loss rate, minimize customer friction, and increase approval rates for good transactions.
AI/ML & Data-Driven Risk Intelligence
Champion the integration of advanced ML models and GenAI into risk workflows, including:
- Fraud detection and classification
- Identity risk assessment
- Adaptive policy generation
- Explainable AI for compliance and auditability
Define best practices for model lifecycle management, experimentation, and real-time inference at scale.
Possess strong experience with data technologies (Python, SQL, data pipelines, streaming frameworks).
Business Impact & Metrics Ownership
Own and influence key business metrics, including:
- Fraud loss rate reduction
- False positive rate / customer friction
- Customer churn due to risk decisions
- Approval rates and revenue protection
Establish measurement frameworks, experimentation strategies (A/B testing), and executive dashboards to guide decision-making.
Continuously refine systems to maximize trust while enabling growth.
Technical Leadership & Influence
Act as a technical authority across multiple organizations, influencing architecture, design standards, and engineering practices.
Lead and mentor senior and staff engineers, raising the overall technical bar across the organization.
Drive engineering excellence in scalability, reliability, observability, and security.
Partner with executives and cross-functional leaders to align technology investments with business priorities.