Multi-strategy asset manager modernizing risk and operations infrastructure
SPX Capital operates a multi-strategy asset management platform serving institutional clients across macro, equity, credit, real estate, and private equity. The tech stack reveals an engineering transition underway: Python + Pandas + NumPy + Databricks + Snowflake form the data backbone, while Azure cloud services and Kubernetes indicate infrastructure maturation. Active projects span risk calculation frameworks, stress testing platforms, and CI/CD implementation—paired with pain points around legacy tool consolidation and manual process reduction—suggesting a shift from spreadsheet-driven operations toward automated, data-first workflows.
SPX Capital is an asset management partnership founded in 2010, managing approximately $10.2 billion in assets across multiple strategies. The firm operates from seven global offices (Rio de Janeiro, São Paulo, London, New York, Cascais, Singapore, and Abu Dhabi) with roughly 250 professionals. The technology foundation spans financial modeling (Excel, Python, NumPy, Pandas), cloud data warehousing (Databricks, Snowflake, Delta Lake on Azure), and enterprise systems (NetSuite, Oracle, SQL Server). Current engineering priorities center on automating risk reporting, refactoring legacy monoliths, and building unified data pipelines—addressing operational friction points in daily risk monitoring and compliance workflows.
Python, Pandas, NumPy, Databricks, Snowflake, Azure cloud services (Data Lake Storage, Container Apps, Data Factory, Functions), NetSuite, Oracle, SQL Server, Docker, and Kubernetes across data, finance, and infrastructure layers.
Risk calculation frameworks, stress testing platforms, Python data pipelines, CI/CD implementation, legacy tool migration to unified ecosystems, and automation of daily reporting and compliance monitoring.
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