Proprietary trading firm building high-performance options market-making systems
Belvedere Trading is a Chicago-based market maker running a deep technology stack centered on real-time data streaming (Kafka, Kinesis, Pulsar, Flink, Spark) and low-latency execution systems written in C++, FPGA, and hardware description languages (Verilog, VHDL). The hiring mix—nine engineering roles plus two trading and two finance—alongside active projects in automated strategy execution and risk tooling signals a firm transitioning from manual trading floors toward algorithm-driven market making. Pain points around low-latency trading, data reliability, and reconciliation suggest they're scaling ingest and execution infrastructure to handle higher throughput.
Belvedere Trading operates as a proprietary trading firm focused on options market making, founded in 2002 in Chicago. The firm employs over 200 people across engineering, trading, finance, and operations, with active hiring in the United States and Singapore. Core operations center on designing and executing automated trading strategies, managing risk and liquidity across commodity options products, and building monitoring and reconciliation tools. The technology footprint spans streaming platforms (Kafka, Kinesis, Apache Pulsar, Flink, Spark), big data infrastructure (BigQuery, PostgreSQL), and low-level systems programming (C++, FPGA, Verilog, VHDL), indicating a firm that builds rather than buys its critical trading and risk systems.
Kafka, Kinesis, Apache Pulsar, Flink, and Spark for streaming; C++ and FPGA for low-latency execution; BigQuery and PostgreSQL for data; Verilog and VHDL for hardware design; Python, Java, and PowerShell for scripting and tooling.
Chicago, Illinois. The firm also hires in Singapore and was founded in 2002 as a market maker on the Chicago Board Options Exchange trading floor.
Belvedere Trading, LLC's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.