Singapore / KDB+ Developer / Python & Low-Latency Trading Systems / Tier One Investment Bank

Overview

Our client is a leading global investment bank growing its Credit Algo Trading technology team in Singapore. The role focuses on building and enhancing large-scale time-series data platforms that support front-office trading and analytics workflows in a low-latency environment.

You will work closely with traders, quantitative developers, and core engineering teams to develop scalable KDB+/Q and Python-based solutions, modernise data infrastructure, and improve performance across critical trading systems.

Requirements

• Strong KDB+/Q experience across historical or real-time data environment
• Strong Python and SQL development skills
• Experience working with large-scale or low-latency data systems
• Strong problem-solving and engineering fundamentals
• Exposure to front-office/trading environments is beneficial
• Open to strong engineers from non-financial backgrounds looking to move into trading technology

Why Apply

• Opportunity to work on one of the largest KDB estates in the industry
• High visibility role with direct interaction across Trading and Technology teams
• Exposure to cloud-native technologies, containerisation, and modern data tooling
• Strong engineering culture with broad technical ownership and impact
• Fast-moving environment with significant investment into trading infrastructure

[Confidential Information]