Proprietary algorithmic trading firm with in-house platform and derivatives desk
FINOVESTA is a German trading firm founded in 1987 that executes trades proprietary-only across equities and derivatives via memberships at multiple exchanges. The tech stack—C#/.NET with Python, SQL Server, and heavy Microsoft 365 adoption—reflects a mature Windows-first trading operation. Current projects center on algorithmic strategy development, market risk analysis, and automated trading platform enhancement, while the hiring mix (engineering-heavy, mostly mid-level) and active Copilot + Power Platform adoption suggest an attempt to inject AI into legacy trading infrastructure and reduce manual settlement friction.
FINOVESTA operates as an electronic trading house focused on securities and derivatives markets across national and international exchanges. The firm maintains its own exchange memberships and broker relationships to access additional venues. All trading is executed on proprietary account only. The company is structured around an engineering core that maintains and develops in-house trading systems, supported by finance and operations teams. Active development priorities include algorithmic strategy optimization, market risk analysis, and post-trade automation—areas where operational efficiency and systematic decision-making are competitive requirements.
FINOVESTA runs C#/.NET Framework with C++ and Python, backed by SQL Server databases. They use Windows and Linux infrastructure alongside Microsoft 365, Teams, SharePoint, and Power BI for analytics and workflow.
Active projects include algorithmic trading platform enhancement, market risk analysis, development of automated trading strategies, post-trade automation (settlement, reconciliation, reporting), and scaling AI solutions via Copilot and internal knowledge assistants.
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