Job 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 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...
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...
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