Software Engineer (KDB+ - Q, Python)

*Singapore returnees or candidates currently residing outside of Singapore are welcome to apply.

Company Summary

A leading global financial institution is building out its next-generation Equities Systematic Trading platform in Singapore. This initiative focuses on modernising core data infrastructure to support quantitative research, electronic trading, and derivatives trading strategies.

This is a high-impact opportunity to work at the intersection of data engineering, quantitative research, and low-latency trading systems, with direct exposure to front-office teams.

Roles & Responsibilities

• Design and build scalable KDB+ platforms to handle real-time and historical data across market data, pricing, risk, and analytics
• Develop data stores and APIs to support quant research, signal generation, and trading strategy implementation
• Partner closely with Quant Research, Electronic Trading, and Trading teams to deliver data-driven solutions
• Act as the KDB Subject Matter Expert for systematic trading applications
• Optimise system performance, including query efficiency, data architecture, and latency
• Ensure high-quality, secure production code; conduct code reviews and troubleshooting
• Improve system reliability through automation and issue remediation
• Collaborate with support teams to ensure platform stability and uptime

Requirements

• 5+ years of hands-on experience with KDB/Q in a production environment
• Strong understanding of KDB+ tick architecture, data modelling, and performance optimisation
• Experience working with large-scale time-series datasets and building high-availability systems
• Prior collaboration with quantitative, algo, or trading teams (front-office exposure
• preferred)
• Solid software engineering fundamentals: system design, testing, and production support
• Familiarity with CI/CD, automation, and agile development practices
• Experience scaling and load-balancing distributed systems

Nice to have:

• Cloud and infrastructure experience (e.g., AWS, Kubernetes, Terraform)
• Programming in Python, C++, or Java
• Exposure to market data systems or vendor platforms
• Interest or experience in applying LLMs to data/analytics workflows

If you're interested in the above role, click on the 'apply' function now! Alternatively, you can contact Mon Fei at for a confidential discussion. Only shortlisted candidates will be notified.

Morgan McKinley Pte Ltd

Chow Mon Fei

EA Licence No: 11C5502

EA Registration No.