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White Swan Data Tech Stack

Quantitative betting models and real-time trading infrastructure

Information Technology & Services London, England 51–200 employees Privately Held

White Swan Data operates a quantitative betting business with a technical stack built for low-latency execution: Python, PyTorch, TensorFlow, GCP, and Docker underpin their trading pipelines. The project roster reveals a dual focus on improving internal systems (trading pipeline optimization, millisecond-latency infrastructure) and expanding capability (visual data processing via ComfyUI and OpenCV, multi-source data ingestion). Engineering dominates the hiring mix, with mid-level practitioners being recruited to handle both model refinement and operational scaling.

Tech Stack 18 technologies

Core StackPython PyTorch TensorFlow Java Docker C++ Node.js ComfyUI OpenCV FFmpeg WebRTC RTSP GCP R SQL Puppeteer Git Excel

What White Swan Data Is Building

◆Challenges

Optimising trading pipeline
Minimising trading downtime
Managing risk
Process improvement and cost savings
Maintaining project momentum
Ensuring quality assurance
Growth potential of acquired affiliate website
Maintaining millisecond latency
Optimising cloud-based low-latency pipelines
Acquiring data from multiple sources

▲Active Projects

Advanced automation and visual data processing workflows
Real-time data analysis tools
Data scraping and ingestion pipelines
Growth strategy for acquired affiliate website
Content production lifecycle management
Cutting-edge trading systems
Real-time data processing pipelines
Gcp-based infrastructure pipelines
Betting solutions development
Football models development

Hiring Activity

Accelerating15 roles · 7 in 30d

Department

Engineering

7

Operations

4

Ops

3

Seniority

Mid

8

Junior

2

Manager

2

Senior

2

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About White Swan Data

White Swan Data is a London-based quantitative betting firm using mathematical models and algorithmic trading to identify and exploit opportunities in betting markets. The team combines mathematicians, data scientists, and software engineers working across three overlapping domains: betting strategy, quantitative research, and production systems. Over 15 years, their technology has generated consistent returns for clients. Current operational priorities include optimizing trading pipelines for millisecond latency, managing downtime risk, and scaling data ingestion from multiple sources. The company is actively hiring across engineering, operations, and management roles in the UK, Ireland, and Italy.

HeadquartersLondon, England

Company Size51–200 employees

Hiring MarketsItaly, United Kingdom, Ireland

Frequently Asked Questions

What tech stack does White Swan Data use?

Python, PyTorch, TensorFlow, GCP, Docker, Java, C++, Node.js, SQL, plus OpenCV and ComfyUI for visual data processing workflows.

What is White Swan Data working on?

Real-time trading systems, low-latency data processing pipelines on GCP, advanced automation with visual data workflows, multi-source data scraping, and sports betting models (including football).