Trade surveillance platform detecting market abuse across global financial markets
TradingHub builds trade surveillance software for investment banks and asset managers, with a stack spanning C#, C++, Python, and distributed cloud infrastructure (AWS, Azure, GCP). The company is actively developing proprietary pattern-detection algorithms and a next-generation in-house big data language while optimizing core calculations — suggesting a shift toward deeper algorithmic sophistication rather than relying on off-the-shelf detection models. Support roles dominate current hiring (7 of 17 open positions), indicating a focus on scaling customer onboarding and implementation alongside engineering growth.
TradingHub provides trade surveillance software to investment banks, asset managers, hedge funds, and brokerages operating in global markets. Founded in 2010 and based in London, the company serves approximately 51–200 employees across engineering, support, and operations. The platform is designed to detect market abuse, monitor best execution, and support anti-money laundering compliance — areas where false positives and missed detections carry both regulatory and reputational risk. Current work centers on scaling new customer onboarding, refining proprietary detection algorithms, and building a calculation framework to model trader intent and risk transfer across instruments.
Core stack: C#, C++, Python, SQL. Cloud: AWS (ECS, CloudFormation), Azure, GCP. DevOps: TeamCity, GitHub, GitLab. Adopting: Jira, Bitbucket, Confluence.
Active projects include pattern-detection algorithm development, a next-generation in-house big data language, a distributed calculation engine, and new customer onboarding and POC implementation.
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