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 in...