Director of Scalable Fraud Technology

NVIDIA

Santa Clara (CA)

On-site

USD 320,000 - 489,000

Full time

4 days ago
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Job summary

NVIDIA is seeking a Technical Fraud Director to define and guide the technical direction for scalable fraud technology and platforms. You will lead architecture, develop reusable capabilities, and partner with Data Science, ML Engineering, Product, and Customer teams to translate evolving fraud patterns into production-grade systems.

Join a team at the intersection of fraud prevention, machine learning, data engineering, risk, and distributed systems, shaping a foundation used to detect emerging

Qualifications

  • 15+ years of progressive software engineering experience.
  • 6+ years leading and managing cross-functional engineering teams.
  • Proven experience designing and delivering large-scale fraud or risk platforms.
  • Experience with production ML systems, data pipelines, and real-time processing.

Responsibilities

  • Lead the technical strategy, architecture, and roadmap for fraud technology at scale.
  • Design reusable detection approaches combining rules, ML, anomaly & graph analytics.
  • Partner with Data Science, ML Engineering, Product, and Customer Engineering teams.
  • Identify fraud signals across transactional, identity, device, and behavioral data.
  • Establish frameworks to translate fraud patterns into production rules and workflows.
  • Define and monitor detection effectiveness with relevant metrics.
  • Lead root-cause analysis for fraud attempts and improve detection logic.
  • Build reusable detection infrastructure, services, and reference architectures.
  • Evaluate emerging technologies including AI/ML and graph analytics for fraud.
  • Lead architecture reviews and align across multiple teams.

Skills

Systems thinking
Cross-functional leadership
Architecture & roadmap design
Fraud technology expertise

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related technical field

Job description

NVIDIA is seeking a Technical Fraud Director to define and guide the technical direction for scalable fraud technology and platforms. You will lead architecture, develop reusable capabilities, and partner with Data Science, ML Engineering, Product, and Customer teams to translate evolving fraud patterns into production-grade systems.

Join a team at the intersection of fraud prevention, machine learning, data engineering, risk, and distributed systems, shaping a foundation used to detect emerging

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