LangGraph Applications in Finance Training Course

LangGraph Fundamentals in Finance

• A refresher on LangGraph architecture and the mechanics of stateful execution.
• Exploring finance 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 protocols.
• Strategies for mapping schemas and ontologies into graph states.
• Addressing data quality, lineage tracking, and PII management.

Workflow Orchestration for Financial Operations

• Designing KYC and AML onboarding processes.
• Managing the trade lifecycle, exception handling, and case management.
• Developing credit adjudication and decision-making pathways.

Compliance, Risk Management, and Controls

• Enforcing policies and managing model risk.
• Implementing guardrails, approval workflows, and human-in-the-loop interventions.
• Maintaining audit trails, data retention, and model explainability.

Integration and Deployment Strategies

• Linking with core banking systems, data lakes, and external APIs.
• Managing containerization, secrets, and environment configurations.
• Establishing CI/CD pipelines, staged rollouts, and canary deployments.

Observability and Performance Management

• Utilizing structured logs, metrics, traces, and cost monitoring tools.
• Conducting load testing, defining SLOs, and managing error budgets.
• Preparing for incident response, rollbacks, and resilience planning.

Quality Assurance, Evaluation, and Safety

• Building unit, scenario, and automated evaluation frameworks.
• Employing red teaming, adversarial prompt testing, and safety verification.
• Focusing on dataset curation, drift monitoring, and continuous improvement.

Summary and Future Directions