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TradingHub Tech Stack

Trade surveillance software for detecting market abuse across complex instruments

Software Development London, England 51–200 employees Founded 2010 Privately Held
tradinghub.com LinkedIn

TradingHub builds trade surveillance software for investment banks, asset managers, and hedge funds using a machine-learning stack (PyTorch, TensorFlow, scikit-learn) deployed on AWS. The tech mix — C#, Python, Java, and cloud infrastructure (DynamoDB, PostgreSQL, AWS Bedrock) — reflects a mature platform handling high-volume market data. Current project focus spans pricing models, risk algorithms, and pattern-detection systems, while pain points around false positives and large-dataset processing suggest the product is scaling detection accuracy across increasingly complex cross-product abuse cases.

Tech Stack 21 technologies

Core StackC# Python Java AWS DynamoDB C++ PyTorch TensorFlow scikit-learn PostgreSQL GitLab CloudFormation Terraform AWS ECS AWS Bedrock TeamCity Azure GCP

What TradingHub Is Building

◆Challenges

  • Detecting market manipulation
  • Mitigating regulatory risk
  • Critical production issues
  • Large data sets processing
  • Monitoring market abuse
  • Troubleshooting implementation issues
  • High-volume variable data loads
  • Cost optimisation
  • Cloud compute utilisation
  • Reducing false positives

▲Active Projects

  • Pricing model development
  • Risk algorithm creation
  • Market data environment
  • Data lineage tools
  • Pattern-detection algorithm development
  • Prototyping and validation of proprietary models
  • Core algorithm optimisation
  • Customer demos and pocs
  • Full-scale implementations
  • Onboarding new customers

Hiring Activity

Accelerating10 roles · 6 in 30d

Department

Engineering
6
Support
3
Data
1
Ops
1
Sales
1

Seniority

Mid
6
Senior
5
Manager
1
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About TradingHub

TradingHub provides trade surveillance and market-abuse detection software to global financial institutions. The platform analyzes trading behavior to identify market manipulation, insider trading, and related regulatory violations across single and cross-product scenarios. Founded in 2010 and headquartered in London, the company operates with approximately 51–200 employees and serves a client base of investment banks, asset managers, hedge funds, commodity houses, and brokers. Active development focuses on improving detection algorithms, reducing false-positive rates, and expanding implementation capacity for new customers.

HeadquartersLondon, England
Company Size51–200 employees
Founded2010
Hiring MarketsUnited Kingdom, Canada

Frequently Asked Questions

What tech stack does TradingHub use?

TradingHub uses C#, Python, Java, C++, PyTorch, TensorFlow, and scikit-learn, deployed on AWS infrastructure (ECS, DynamoDB, PostgreSQL, Bedrock). Infrastructure is managed with Terraform and CloudFormation; CI/CD runs on TeamCity and GitLab.

What is TradingHub working on?

Active projects include pricing model development, risk algorithm creation, pattern-detection systems, market data infrastructure, data lineage tools, and core algorithm optimization. The team is also focused on customer implementation, POC validation, and onboarding at scale.

How this profile is built

TradingHub'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.