Institutional derivatives trading platform with real-time risk management and market data
SpiderRock operates a multi-layered trading infrastructure serving institutional derivatives markets: a core platform layer (FIX, SQL, Python, C++, Java), a broker-dealer execution arm (FINRA-registered), and a market-data division. The tech stack is heavy on low-latency systems languages (C++, C#) paired with modern cloud infrastructure (AWS, Snowflake), and hiring is split between engineering and support—signaling platform growth and customer onboarding strain. Publicly flagged pain points around scaling core infrastructure and real-time data outages align with the active project mix focused on high-throughput systems and cost monitoring.
SpiderRock is a Chicago-based derivatives trading and risk platform provider founded in 2006, serving asset managers, proprietary trading firms, and bank trading desks. The company is structured around three subsidiaries: a platform services arm handling execution and risk tools, a FINRA-registered broker-dealer (SpiderRock EXS) for electronic options execution, and a market-data business (Gateway Technologies) delivering exchange feeds and proprietary datasets. The product focuses on institutional-grade speed, risk analytics, and algorithmic execution, with cloud-based infrastructure accessible across broker networks. Current operational priorities include expanding core platform capacity, hardening API onboarding pipelines, and reducing data-delivery latency.
Core platform relies on FIX, SQL, Python, C++, and Java for low-latency execution. AWS and Snowflake handle infrastructure and analytics. Monitoring tools include Elasticsearch for observability and Jira for project tracking.
Three core offerings: a trading and risk platform (execution, analytics, market access), a FINRA-registered broker-dealer (SpiderRock EXS) for electronic options execution, and institutional market-data services (SpiderRock Gateway Technologies) delivering exchange feeds and proprietary datasets.
Other companies in the same industry, closest in size