The VP of Fraud Detection Engineering will lead the development and implementation of advanced AI and Machine Learning models to protect the Consumer Deposit business from fraud. This role involves architecting a real-time fraud detection ecosystem that utilizes various signals to identify and mitigate fraud throughout the customer lifecycle. The leader will be responsible for defending against synthetic fraud, account takeovers, and financial crimes. This position requires collaboration with cross-functional teams and mentorship of a specialized engineering team.

• 8+ years of experience in software engineering or data science, with at least 6 years in a senior leadership role within Fraud or Risk Tech.
• Deep expertise in supervised and unsupervised learning, specifically for anomaly detection and classification in imbalanced datasets.
• Proficiency in Python, PySpark, and modern ML frameworks.
• Experience with cloud-native AI services such as AWS SageMaker and GCP Vertex AI.
• Strong understanding of banking protocols and identity verification standards.

• Lead the design, training, and deployment of ML models to detect anomalies in real-time.
• Develop frameworks to ingest and synthesize multiple fraud signals.
• Architect low-latency inference pipelines for immediate decision-making on high-risk events.
• Implement robust models to identify synthetic identities during customer acquisition.
• Define technical standards for monitoring money movement to detect unauthorized activity.
• Develop behavioral baselines to identify account takeovers and session hijacking attempts.
• Oversee the engineering of high-throughput data pipelines capable of processing millions of daily events.
• Lead the development of a centralized feature store for consistency between model training and production.
• Establish rigorous back-testing and monitoring frameworks to track model performance.
• Foster a culture of continuous research and rapid prototyping to stay ahead of emerging fraud trends.
• Partner with various teams to align technical fraud roadmaps with business growth and regulatory requirements.
• Build and lead a team of ML engineers, data scientists, and backend engineers specializing in financial security.

• Employees at Goldman Sachs are often offered comprehensive benefits, including medical, dental, life and disability coverage, generous vacation and holidays, and robust wellness resources such as EAP counseling, medical advocacy, on-site/virtual health services, and fitness support. Financial perks typically include retirement savings programs, live financial education, education support, and wealth-creation opportunities through equity awards and select investment programs. Many locations also provide family benefits (childcare resources, parental and family leaves, adoption/surrogacy support) and flexible work options like part-time schedules, job sharing, telecommuting, and alternate hours.