Real-Time Trading Python Engineer

Dex; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Dex is partnering with a leading algorithmic market maker to hire into the Core Development team. You will work closely with traders, C++ low-latency developers, and quant researchers to design, ship, and iterate live trading tools, feature stores, and real-time pipelines from a London base.

The role emphasizes hands-on ownership, collaboration with non‑engineers, and building robust Python services that feed high‑volume data into real-time systems and ML pipelines for researchers.

Qualifications

• At least 2 years of professional, production‑level Python experience writing clean, robust, and pragmatic code.
• Strong working knowledge of relational SQL databases and day‑to‑day comfort operating in Linux environments.
• Proven ability to collaborate directly with non‑engineers—traders, researchers, and operations—translating business and desk requirements into working software without intermediate product layers.
• Intellectual curiosity about algorithmic trading and digital asset markets; prior finance experience is welcomed, but not required.

Responsibilities

• Ingest, normalise, and route high-throughput trade and transfer data across global venues directly into internal real-time systems.
• Build and scale reconciliation engines that process complex execution data into sub‑second position updates, risk alerts, and operational reports.
• Develop and maintain trading GUIs and operational tooling used daily by the trading desk to monitor exposure and manage live positions.
• Design and optimise high‑capacity storage and retrieval systems supporting machine learning feature pipelines for quantitative researchers.
• Architect automated settlement and clearing workflows for bilateral counterparty and OTC transactions.

Skills

Python

SQL databases

Linux

Cross-functional collaboration

Finance/Algo interest

Job description

Dex is partnering with a leading algorithmic market maker to hire into the Core Development team. You will work closely with traders, C++ low-latency developers, and quant researchers to design, ship, and iterate live trading tools, feature stores, and real-time pipelines from a London base.

The role emphasizes hands-on ownership, collaboration with non‑engineers, and building robust Python services that feed high‑volume data into real-time systems and ML pipelines for researchers.