Description

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

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

Why Apply

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

If you would like to apply for this opening or discuss any other positions within Enterprise Information Technology in Asia, please send an email to Katie Huang at Katie.huang@bahpartners.com or call (852) 2544 4200

For more roles, please visit our website: http://bahpartners.com/live-roles/