Hedge Fund System Design: backend pipeline for AI investing

Backend/system-design round for an AI-investing hedge fund role. The public notes mention a high-level pipeline with Kafka, Spark, databases and discussion of the overall data/serving architecture.

Аудио и материалы

Выводы и как готовиться

For investing systems, the answer should separate offline research pipelines from online inference or signal-serving paths.
Kafka/Spark/database choices need to be tied to latency, replayability, data quality and audit requirements.
A credible system-design answer should explicitly call out backtesting leakage, reproducibility and monitoring for data drift.

Hedge Fund System Design: backend pipeline for AI investing

Аудио и материалы

High-level backend pipeline for AI investing signals

Kafka, Spark and database architecture discussion

Reliability, backtesting and monitoring concerns

Выводы и как готовиться