Fraud & Risk Analyst

Details

About the Team

The Go To Market team is responsible for developing and implementing scalable fraud detection and review systems, conducting Trust & Safety and financial fraud investigations, and partnering cross-functionally to address customer risk, compliance, and integrity at scale.

About the Role

As a Fraud & Risk Analyst, you will develop and operate fraud detection, investigation, and risk management systems using automation, machine learning, and human-in-the-loop processes.

This role is based in San Francisco, CA. Telecommuting is permitted from within the U.S.

Responsibilities

• Develop and implement scalable fraud detection and review systems
• Utilize automation, machine learning, and human-in-the-loop processes to prioritize high-risk and high-prevalence cases
• Conduct Trust & Safety and financial fraud investigations and resolve customer risks through root cause analysis and long-term remediation
• Conduct data analysis and investigations using internal and third-party data to build operational metrics and monitoring systems
• Drive continuous improvement in fraud detection models and risk management systems
• Incubate product launch integrity reviews in collaboration with Safety Systems Engineers, Research, Product, and Policy teams
• Collaborate with Safety Systems Engineers, Research, Product, and Policy teams to create and refine policies targeting specific risk vectors and ensure global regulatory compliance
• Develop Quality Assurance measurement programs and improve target operational metrics
• Build technical architectures to enable scalable vendor review systems
• Create technical training programs addressing emerging risks in Artificial Intelligence and operational workflows

Requirements

• Experience developing or operating fraud detection and risk management systems
• Familiarity with automation and machine learning techniques applied to fraud/risk detection
• Experience conducting Trust & Safety and financial fraud investigations and root cause analysis
• Strong data analysis skills using internal and third-party data to create operational metrics and monitoring systems
• Experience with QA measurement programs and improving operational targets
• Ability to collaborate with cross-functional teams (Safety Systems Engineering, Research, Product, Policy)

Compensation Range

$185,000 to $275,000 per year

Benefits & Other Information

• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays and multiple company office closures throughout the year
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend
• Daily meals in offices and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits (charitable donation matching, wellness stipends)

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of AI capabilities and seek to safely deploy them through our products.

OpenAI is an equal opportunity employer and is committed to providing reasonable accommodations to applicants with disabilities. Background checks will be administered in accordance with applicable law.