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.
Partner with data science teams to translate models into production-grade, scalable systems.
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.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent experience.
12+ years of experience building and scaling complex distributed systems, with a strong track record of technical leadership.
Proven experience architecting large-scale financial systems, payment platforms, or risk/fraud systems.
Deep expertise in
Backend systems (Java, Spring Boot, or equivalent)
Frontend technologies (React or modern frameworks)
Cloud platforms (AWS preferred) and distributed architectures
Strong experience with AI/ML systems in production, including real-time decisioning and model integration.
Demonstrated ability to design systems operating at extreme scale (billions of transactions, low-latency decisioning).
Expertise in risk analytics, fraud detection strategies, and compliance requirements in Fintech.
Proficiency in data technologies (Python, SQL, data pipelines, streaming frameworks).
Exceptional ability to drive alignment across engineering, product, data science, and business stakeholders.
Strong business acumen with the ability to connect technical decisions to financial outcomes and customer impact.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Mountain View $261,500 - $353,500
