LangGraph Applications in Finance Training Course

LangGraph Fundamentals for Finance

• Overview of LangGraph architecture and stateful execution mechanisms.
• Application scenarios: research copilots, trade support, and customer service agents.
• Considerations regarding regulatory constraints and auditability.

Financial Data Standards and Ontologies

• Introduction to ISO 20022, FpML, and FIX protocols.
• Techniques for mapping schemas and ontologies into graph states.
• Managing data quality, lineage, and PII handling.

Workflow Orchestration for Financial Processes

• Designing KYC and AML onboarding workflows.
• Managing trade lifecycles, exceptions, and case management.
• Structuring credit adjudication and decisioning paths.

Compliance, Risk, and Controls

• Implementing policy enforcement and model risk management.
• Establishing guardrails, approval chains, and human-in-the-loop steps.
• Maintaining audit trails, data retention, and explainability.

Integration and Deployment

• Connecting to core banking systems, data lakes, and external APIs.
• Managing containerization, secrets, and environment configurations.
• Implementing CI/CD pipelines, staged rollouts, and canary releases.

Observability and Performance

• Utilizing structured logs, metrics, traces, and cost monitoring.
• Conducting load testing, defining SLOs, and managing error budgets.
• Applying incident response, rollback strategies, and resilience patterns.

Quality, Evaluation, and Safety

• Setting up unit, scenario, and automated evaluation harnesses.
• Performing red teaming, adversarial prompt testing, and safety checks.
• Curating datasets, monitoring drift, and driving continuous improvement.

Summary and Next Steps