Deep explanation
System design: a financial research assistant with Mistral
System design for a Mistral-powered financial research assistant: hosted vs self-hosted models, document and market-data retrieval, function calling, numeric verification, compliance controls, and rollout.
Quick answer
I would build a retrieval-plus-tools system: documents are parsed, chunked, and indexed with metadata like ticker and fiscal period, and numbers come from a market-data tool, not from the model's memory. A Mistral chat model plans the answer, calls tools through function calling, and writes a cited summary; code recomputes every figure before it is shown. Because internal research is confidential, I would favour self-hosted open-weight Mistral models in our VPC (or a contractually isolated deployment), with strict entitlements, audit logs, and a staged rollout behind an evaluation gate.
The interview question
Design a financial research assistant for an investment firm's analysts using Mistral models. Analysts ask questions over SEC filings, earnings call transcripts, internal research notes, and market data ("How did segment margins change over the last four quarters, and what did management say about it?"). Cover requirements, model choice and hosting, APIs, storage, scaling, security, observability, and rollout.
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