Base Salary
$262k - $354k/yr
Responsibilities
- Define and drive the multi-year technical vision, architecture, and roadmap for the Fintech Risk Platform.
- Architect highly available, low-latency systems supporting $1T+ in annual money movement and billions of transactions.
- Lead end-to-end risk decisioning architecture across transaction processing, identity verification, fraud detection, compliance, and dispute handling.
- Establish real-time and batch risk pipelines integrating signals across payments, ledgers, identity, analytics, and customer platforms.
- Integrate AI/ML and GenAI into fraud detection, identity risk assessment, adaptive policy generation, explainable AI, and real-time inference.
- Drive resilient, fault-tolerant distributed systems with strong consistency, auditability, explainability, and regulatory compliance.
- Own and improve fraud loss, false positive, customer friction, churn, approval, and revenue-protection metrics.
- Establish experimentation, A/B testing, measurement, and executive dashboard strategies.
- Influence architecture and engineering standards across organizations and mentor senior and staff engineers.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 12+ years of experience building and scaling complex distributed systems with a strong record of technical leadership.
- Proven experience architecting large-scale financial systems, payment platforms, or risk and fraud systems.
- Deep expertise in backend systems including Java and Spring Boot or equivalent technologies.
- Experience with frontend technologies such as React or modern frameworks.
- Experience with cloud platforms, preferably AWS, and distributed architectures.
- Strong experience with production AI/ML systems, real-time decisioning, and model integration.
- Demonstrated ability to design systems operating at extreme scale with billions of transactions and low-latency decisioning.
- Expertise in risk analytics, fraud detection strategies, and fintech compliance requirements.
- Proficiency in Python, SQL, data pipelines, and streaming frameworks.
- Ability to align engineering, product, data science, and business stakeholders and connect technical decisions to financial outcomes.
Benefits
- Competitive compensation package with pay-for-performance rewards.
- May be eligible for a cash bonus, equity rewards, and benefits under applicable plans and programs.
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.