LangGraph Applications in Finance Training Course

LangGraph Fundamentals for Finance

• A refresher on LangGraph architecture and stateful execution mechanisms.
• Exploring financial use cases, including research copilots, trade support, and customer service agents.
• Examining regulatory constraints and the importance of auditability.

Financial Data Standards and Ontologies

• An overview of ISO 20022, FpML, and FIX fundamentals.
• Techniques for mapping schemas and ontologies into graph state.
• Best practices for data quality, lineage tracking, and PII handling.

Workflow Orchestration for Financial Processes

• Designing KYC and AML onboarding workflows.
• Managing trade lifecycles, exception handling, and case management.
• Developing credit adjudication and decisioning paths.

Compliance, Risk, and Controls

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

Integration and Deployment

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

Observability and Performance

• Monitoring structured logs, metrics, traces, and costs.
• Conducting load testing, defining SLOs, and managing error budgets.
• Implementing incident response, rollback strategies, and resilience patterns.

Quality, Evaluation, and Safety

• Building 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