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# Quantitative Technology Director - Trading Infrastructure

- **Company:** Werkfolio Limited
- **Location:** London, UK
- **Salary:** £90,000.0 - £95,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithmic Trading, C++ (Programming Language), Computer Engineering, Digital Assets, Financial Information EXchange, Python (Programming Language), Performance Tuning, Shell Script, Software Deployment, SQL Databases, Low Latency
- **Published:** September 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bb3eef06567a0095

## About the Role

* Substantial experience in financial markets technology, ideally gained across buy side, sell side and exchange environments
 * Deep production engineering background with proven ownership of L3 support for live trading systems
 * Strong working knowledge of derivatives, futures and options, currency derivatives, structured products and digital assets
 * Hands-on experience with FIX protocol and direct exchange connectivity
 * Solid Python, Linux shell scripting and SQL, with the ability to review and validate quantitative pricing models
 * Track record of delivering regulatory change (MiFID II or equivalent) and exchange migrations in production
 * Experience applying AI assisted tooling, backtesting frameworks or automation to production operations
 * A degree in computer engineering or a related discipline

Desirable

 * Exposure to C or C++ in a low latency context
 * Recognised derivatives or capital markets certifications
 * Experience working across distributed international teams

## Description

This is a hands-on leadership role for someone who has lived across the full trading technology stack, from exchange connectivity and low latency execution through to pricing model validation and 24/7 production support. You will act as the bridge between quantitative research and live trading, making sure strategies move from model to production reliably and at scale.

What you will do

 * Own 24/7 production stability across live trading systems, leading incident management, root cause analysis and continuous improvement of monitoring and platform resilience
 * Introduce and develop AI assisted monitoring and anomaly detection tooling to identify production risk early and reduce mean time to resolution
 * Work closely with quantitative researchers to own the path from research model to production deployment, including validation of Python based pricing mechanisms for derivatives and structured products
 * Manage FIX protocol and native exchange connectivity across multiple venues
 * Lead configuration and performance tuning of the trading ecosystem
 * Oversee regulatory and exchange driven change so that migrations land with zero disruption to live trading
 * Build and maintain automated regression and testing frameworks
 * Set the standard for operational excellence across the platform


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