Quod Financial Tech Stack

Multi-asset trading technology platform for institutional execution

Capital Markets London 51–200 employees Founded 2004 Privately Held

Quod Financial builds order and execution management systems for buy-side and sell-side institutions. The stack is heavily Python + SQL + TensorFlow, with desktop tooling (.NET/Windows Forms) alongside backend APIs and FIX connectivity—reflecting both the stateful, performance-critical nature of trading systems and a shift toward data-driven automation. Active projects center on ML optimization, algorithmic trading, and GenAI capabilities; paired with pain points around algorithm performance and training, this signals a move to embed machine learning into core execution logic rather than bolt it on.

Tech Stack 19 technologies

Core StackPython Linux Docker TensorFlow C# .NET Oracle PostgreSQL SQL FIX REST JMeter Locust pytest Windows Windows Forms DevExpress Bash Perl

What Quod Financial Is Building

◆Challenges

Optimising algorithmic trading
Improving client algorithms
Training and validation of trading scenarios
Improving sales process efficiency
Performance issues

▲Active Projects

Simulator training environment
Client algorithm analysis
Ml foundation models optimisation
Integration of back-end microservices and trading apis
Configuration of recently released features
Genai product development
Algorithmic trading optimisation
Performance testing of desktop applications
Automated performance testing
Improving performance testing processes

Hiring Activity

Decelerating7 roles · 1 in 30d

Department

Engineering

Data

Sales

Support

Seniority

Mid

Junior

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About Quod Financial

Quod Financial delivers trading technology serving banks, brokers, and asset managers across multiple asset classes. The product suite—anchored by Unity, a modular cross-asset architecture—covers order management, execution management, smart order routing, algorithmic trading, and liquidity internalization. The platform normalizes data and workflows across asset classes, enabling automation and control of complex operations. Founded in 2004 and headquartered in London, Quod operates offices across six continents (Paris, Dubai, New York, Toronto, Singapore, Hong Kong). The company is mid-stage, with engineering-led development and active hiring across France, North America, and Ukraine.

HeadquartersLondon

Company Size51–200 employees

Founded2004

Hiring MarketsFrance, United States, Ukraine, Canada

Frequently Asked Questions

What tech stack does Quod Financial use?

Python, SQL, TensorFlow, FIX, REST, Linux, Docker, C#/.NET, and Windows Forms. The mix reflects performance-critical backend systems (Python/SQL/TensorFlow) and stateful desktop clients (.NET/Windows Forms).

What is Quod Financial working on?

ML model optimization, GenAI product development, algorithmic trading optimization, simulator training, performance testing automation, and microservice/API integration. Projects reflect a focus on embedding machine learning into execution logic.