Options market-maker with proprietary low-latency trading platform
Akuna Capital is a self-capitalized options market-maker founded in Chicago in 2011, now operating across four global offices (Chicago, Sydney, Shanghai, London). The tech stack—Python, C++, Kafka, Kubernetes, Databricks, Spark—reflects a firm optimizing for real-time execution and data infrastructure at scale. Active hiring is heavily concentrated in engineering (17 roles) with a balanced mid/senior mix, paired with simultaneous projects in ML observability, CI/CD for ML, and WAN/LAN network design for global trading, signaling aggressive infrastructure modernization and expansion into new trading products (notably sports pricing).
Akuna Capital designs and operates its own trading strategies, mathematical models, and low-latency technologies to provide liquidity as an options market-maker on Chicago-based derivatives exchanges. The firm is structured as a partnership with dozens of employee-shareholders and no external investors or client capital—all trading uses company capital. Beyond traditional equity options, the firm is actively expanding into sports pricing and developing proprietary platforms for strategy execution, order routing, and risk management. Operations span North America, APAC, and Europe, with headquarters in Chicago and satellite offices in Sydney, Shanghai, and London.
Akuna Capital is an options market-maker that provides liquidity by quoting competitive buy and sell prices on major Chicago derivatives exchanges. The firm designs its own trading strategies, mathematical models, and low-latency infrastructure to execute this business using company capital.
Python, C++, Kafka, Kubernetes, AWS EKS, Databricks, Apache Spark, Prometheus, Ansible, and Juniper/Arista/Cisco networking. The stack emphasizes real-time data pipelines, distributed computing, and network optimization for low-latency trading.
Akuna Capital'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.