Head of Machine Learning, Ongoing Monitoring
Core
Lead the engineering strategy for fraud detection, financial risk, and regulatory compliance systems to protect Tide's members and enable compliant growth.
Role type
Senior IC/Lead Machine Learning Engineer (Risk & Compliance)
Builds
Intelligent, resilient, and adaptive platforms for real-time decision-making, effective data management, and advanced fraud prevention.
Domain
Fintech / Banking / Risk Management
Deliverable
production ML models | infrastructure
Required skills
Engineering leadership, fraud prevention, compliance (KYC/KYB, AML), supervised and unsupervised ML, decision trees, neural networks, LLMs, multi-agent orchestration frameworks, adversarial AI security, cloud-native architectures, microservices, event-driven systems, data platforms
Preferred skills
Fintech domain knowledge, agentic AI detections, deepfake detection, prompt injection attack mitigation
Technologies
LangGraph, AutoGen, AWS, GCP
Responsibilities
Define and execute risk engineering strategy, lead a team of managers and engineers, build and scale risk infrastructure, develop self-service tools for internal teams, support compliance and regulatory standards, champion data-driven risk management
Seniority
Senior, hands-on IC with leadership responsibilities