Overview
The interview for engineers who build RAG and agent systems in banking, capital markets, insurance and fintech, answered. Eight volumes start with where these systems earn their place, the financial data they depend on and how risk and regulation shape every design. They then move through ingesting filings and statements without losing a number, embeddings and indexes that understand entities and periods, and retrieval that returns grounded, cited, numerically correct answers. The later volumes cover agents that act safely inside core banking, payments and trading systems, multi-agent workflows with memory and human oversight, and security, privacy and regulatory compliance. The kit closes with evaluation, production operations and complete system design case studies. Every answer is written in the first person with a concrete example, and many carry a diagram that shows the design at a glance.
What you will learn
- Explain where RAG and agents add value in finance, and which use cases to avoid or delay
- Ingest and chunk filings, statements and contracts without losing numbers, periods or context
- Design entity-aware embeddings and indexes for financial language and identifiers
- Build retrieval that returns grounded, cited and numerically correct answers
- Design agents that act safely inside banking, payments and trading systems
- Plan multi-agent workflows with memory, state and human oversight that satisfies audit
- Answer security, privacy, regulatory and model risk questions with specifics
- Evaluate, operate and design complete financial AI systems in an interview
Included with the kit
- 24 written parts, yours for good
- 8h 0m of reading, measured not estimated
- Written for the advanced level
- Every future revision included
- UPI, cards and netbanking
Prerequisites
- Working knowledge of RAG and LLM agents; the answers assume you have built with them
- No finance background needed: identifiers, filings and regulations are explained as they come up
Curriculum
8 sections · 24 parts · 8h 0m01Volume 1: Finance AI Foundations and the Financial Data Landscape3 parts · 59 min
Understand where RAG and agents fit in banking, capital markets, insurance, and fintech, the financial data they depend on, and how risk and regulation shape every design decision.
- Finance AI foundations: foundations21 min
- Finance AI foundations: scenarios19 min
- Finance AI foundations: practical19 min
02Volume 2: Financial Document Ingestion, Extraction and Chunking3 parts · 60 min
Turn filings, statements, contracts, and transaction records into clean, accurate, well-structured retrievable units without losing numbers, periods, or context.
- Ingestion and chunking: foundations22 min
- Ingestion and chunking: scenarios18 min
- Ingestion and chunking: practical20 min
03Volume 3: Financial Embeddings, Entity-Aware Indexing and Vector Stores3 parts · 61 min
Choose, evaluate, and operate embeddings and indexes that understand financial language, entities, periods, and numbers while keeping sensitive data secure.
- Embeddings and indexing: foundations23 min
- Embeddings and indexing: scenarios18 min
- Embeddings and indexing: practical20 min
04Volume 4: Financial Retrieval, Generation and Numerical Grounding3 parts · 57 min
Retrieve the right financial evidence and generate grounded, cited, numerically correct answers for analysts, employees, and customers.
- Retrieval and grounding: foundations21 min
- Retrieval and grounding: scenarios16 min
- Retrieval and grounding: practical20 min
05Volume 5: Financial Agents: Tools, Workflows and System Integration3 parts · 61 min
Design agents that act safely inside core banking, payments, trading, and back-office systems with the right level of autonomy and control.
- Financial agents: foundations22 min
- Financial agents: scenarios18 min
- Financial agents: practical21 min
06Volume 6: Multi-Agent Systems, Memory and Human-in-the-Loop3 parts · 58 min
Coordinate multiple agents, manage memory and state across long financial workflows, and design human oversight that satisfies control and audit requirements.
- Multi-agent and oversight: foundations22 min
- Multi-agent and oversight: scenarios18 min
- Multi-agent and oversight: practical18 min
07Volume 7: Risk, Security, Privacy and Regulatory Compliance3 parts · 60 min
Build financial RAG and agent systems that protect customers and the firm, resist attacks, and satisfy regulators, auditors, and model risk management.
- Risk and compliance: foundations22 min
- Risk and compliance: scenarios20 min
- Risk and compliance: practical18 min
08Volume 8: Evaluation, Production Operations and System Design Case Studies3 parts · 64 min
Prove that financial RAG and agents are accurate, safe, and valuable, run them reliably in production, and design complete systems in interviews.
- Evaluation and operations: foundations19 min
- Evaluation and operations: scenarios18 min
- Evaluation and operations: practical27 min
Reviews
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