Overview

Reactive PublishingThe finance function is being rewired from the ground up. Python has become the analytical engine. Excel remains the universal interface. APIs now deliver real-time data. Power BI and dashboards run the executive layer. And AI agents are beginning to automate entire workflows. Yet no single guide has ever mapped the architecture behind these systems-until now. Finance Systems Engineering 2026 is the definitive blueprint for building modern financial infrastructure. Through practical, real-world examples, Hayden Van Der Post shows how to integrate Python, Excel, SQL, cloud services, AI agents, and forecasting engines into a unified system that produces fast, scalable, automated financial output. You'll learn how to design: automated ETL pipelines Python-Excel hybrid forecasting systems quant modules callable from Excel AI-driven FP&A workflows enterprise-grade financial models that scale risk & scenario engines API-based data networks real-time reporting architecture This is the first book that brings all disciplines together: FP&A modeling, quantitative finance, data engineering, automation, and LLM-based systems. If you want to lead finance in 2026 and beyond, this is the playbook.

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