Latin American brokerage and asset management firm with regional expansion
LarrainVial is a multi-country financial intermediation and advisory firm operating across Chile, Peru, Colombia, and the U.S. The tech stack reveals an organization in transition: Python, Go, and Rust sit alongside SAP, Bloomberg, and legacy Office tools, while active projects center on process automation, quantitative modeling, and operational simplification. Hiring is accelerating in finance roles (11 open), suggesting either a build-out of trading/research capacity or a push to automate away manual workflows — the pain-point list (process automation, reducing operational friction, data quality) points toward the latter.
Notable leadership hires: Legal Head
LarrainVial was founded in Santiago in 1934 and has grown into one of Latin America's largest financial intermediation and advisory firms. The company operates a regional brokerage presence across Chile (10 offices), Peru (since 2004), and Colombia (since 2006), plus a U.S. Broker Dealer license since 2010. The business spans three pillars: an advisory and trading brokerage (leading share-trading volume on MILA, structured over half of Chilean IPOs in the past decade), LarrainVial Asset Management (the largest non-bank fund manager in Chile managing 40+ funds), and Activa (a private equity arm created in 2005). The firm employs over 800 experts serving individual, corporate, and institutional clients.
LarrainVial operates as a financial intermediation and advisory firm with three core divisions: brokerage and capital markets (leading MILA share trading volume), asset management (40+ mutual and investment funds), and private equity (through Activa, created 2005).
LarrainVial operates across Chile (headquarters in Santiago, 10 regional offices), Peru (since 2004), Colombia (since 2006), and the U.S. (as a Broker Dealer since 2010).
LarrainVial's stack includes Python, Go, Rust, JavaScript, SQL, SAP, Bloomberg, Power Apps, Power Automate, Power BI, and Microsoft Office tools — a mix of quantitative languages and enterprise/market data infrastructure.
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