Director, FSI Predictive Technology

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 320,000 - 488,750Function: Executive & General ManagementExperience: 15+ yearsSkills: ["Systems-thinking","Technical leadership","Cross-functional collaboration","Systems design","Root-cause analysis"]

Lead the technical strategy and roadmap for scalable fraud technology used by customers to build, customize, and operate fraud detection, prevention, investigation, and decisioning systems. Design reusable detection approaches that combine rules, machine learning, anomaly and behavioral analytics, graph analytics, entity resolution, and risk scoring. Partner across data science, ML engineering, product, and customer engineering to deploy, measure effectiveness, and continuously improve real-time detection capabilities.

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FursaFursa
NVIDIA
NVIDIA
6 hours ago

Director, FSI Predictive Technology

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Last checked: 6 hours agoStatus: Live

Job Summary

Lead the technical strategy and roadmap for scalable fraud technology used by customers to build, customize, and operate fraud detection, prevention, investigation, and decisioning systems. Design reusable detection approaches that combine rules, machine learning, anomaly and behavioral analytics, graph analytics, entity resolution, and risk scoring. Partner across data science, ML engineering, product, and customer engineering to deploy, measure effectiveness, and continuously improve real-time detection capabilities.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Executive & General Management
Seniority: Director level

Key Responsibilities

  • •Lead the technical strategy, architecture, and roadmap for fraud technology that scales and supports customer fraud detection, prevention, investigation, and decisioning systems.
  • •Design reusable detection approaches combining rules, machine learning, anomaly detection, behavioral analytics, graph analytics, entity resolution, and risk scoring.
  • •Partner with data science, ML engineering, product, and customer engineering teams to develop, evaluate, deploy, and continuously improve detection capabilities.
  • •Establish frameworks to translate newly discovered fraud patterns into production rules, signals, models, and detection workflows across customer environments.
  • •Define and monitor detection effectiveness metrics (precision, recall, false-positive rates, coverage, alert quality, latency, and business impact), and lead technical root-cause analysis to improve detection logic, data coverage, and system resilience.

Pay and Benefits

Salary: USD 320,000 - 488,750
Equity and Bonus:Equity

Key Requirements

  • •15+ years of progressive experience in software engineering or related technical disciplines, including 6+ years leading and managing complex, cross-functional engineering organizations.
  • •Deep expertise in fraud technology, risk systems, security engineering, machine learning, data science, or data engineering.
  • •Significant experience designing, building, or operating large-scale fraud, abuse, risk, security, detection, or machine learning systems.
  • •Experience developing platforms, products, APIs, services, or technical frameworks adopted by internal or external customers.
  • •Strong understanding of detection methodologies (rules-based, statistical, behavioral, anomaly-based, graph-based, and machine-learning approaches) and real-time high-volume distributed/event-driven systems.
Experience:15+ yearsFraud detectionRisk systemsSecurity engineeringMachine learningData engineering
Skills:Systems-thinkingTechnical leadershipCross-functional collaborationSystems designRoot-cause analysis
Tech Stack:Machine learningAnomaly detectionBehavioral analyticsGraph analyticsEntity resolutionRisk scoringReal-time decisioningEvent-processing

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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