Top Tech Jobs & Startup Jobs in Singapore

Develop and maintain Python libraries, services, and frameworks for data pipelines used in trading and research. Collaborate with quantitative and tech teams to design data models, deploy resilient data platform tooling, improve development velocity, write design/requirements docs and runbooks, and provide higher-order production support during business hours.

As a kdb+/q developer, you will design, implement, and maintain kdb+ architecture, normalize datasets, and support critical services during trading.

Design, develop, and maintain data infrastructure microservices using C++, optimize for performance, debug issues, and collaborate with teams.

Early-career SRE working on production ML/HPC infrastructure: design and maintain data pipelines, orchestration, scheduling, performance and reliability improvements, and collaborate with researchers to deliver production-quality systems under mentorship.

Provide first- and second-level on-site and remote desktop support for ~2,000 global users in a Windows/virtual desktop environment. Manage incidents and service requests within SLAs, maintain runbooks and KB articles, handle hardware/inventory and procurement, collaborate with L2/L3 teams and vendors, participate in rotational on-call coverage, and support projects as assigned.

The Technical Business Analyst drives project lifecycles by gathering requirements, designing solutions, managing projects, and collaborating with stakeholders to ensure successful delivery.

The Software Developer will build software solutions using Python, collaborating with developers and researchers to support trading success and business growth.

Develop and implement low latency, high performance trading systems using C++. Drive design and processing of data and connectivity services.

As a Quant Developer, you will collaborate with researchers and traders to implement trading strategies, analyze backtesting results, and drive cross-team initiatives.

The Graduate Quant Developer will support investment research through quantitative reasoning and software development, collaborating with researchers and building scalable systems.