Join the Equities QPS (Quantitative Prime Services) Technology Team in Singapore as a Platform Developer primarily with Java, Python along with Low latency exposure for designing and developing low-latency end-to-end Direct Market Access (DMA) trading platform. You will join a team where the key focus is on building out the functionality and technology of the SubM systems for our flagship low latency product offering for giving low latency to a very niche domain of very high volume and low latency sophisticated Equites trading clients, mostly Hedge funds. In the role , you will design and develop industry-leading, low-latency Equities trading systems, engage in holistic simulation and testing of the trading system for high reliability, provide estimates for tasks including design, development, testing, support analysis, testing, operations teams, participate in code reviews and architectural decisions. You will work with business analysts and project managers, analysing for appropriate technical solution and creating a technical specifications ,developing end to end technology solutions, Unit / system / regression / performance testing ,fixing bugs coming out of System / UAT testing , resolving any post-implementation issues, working with SRE team to support DevOps integration, participate in post-project reviews in order to improve the project lifecycle where necessary. You will be interacting with both senior Front Office Trading and Sales stakeholders across multiple regions. You should be able to understand stakeholder requirements, proactively participate in ongoing product enhancement discussions and provide informed inputs to help shape and evolve those discussions.
To be successful in the role, you should have:
Essential Skills/Basic Qualifications:
Experience in one or more Programming languages like Java, C++ and unit testing practices
Good scripting skills using Python, Perl or similar
Experience working in a Linux environment
Intent to learn new technologies across hardware and software
Understanding of DevOps concepts and use cases
Understanding of higher-level Computer Science concepts such as data structures and algorithms
Desirable skills/Preferred Qualifications:
Proven experience in working in the Investment banking, working with directly with Traders and Desk Heads
Experience of Core Software Design Principles
Exposure to Low latency frameworks / lock free data structures
Expertise in computer networks, computer architecture, and operating systems
Advanced knowledge of Linux
Agile software development methodology
You may be assessed on key critical skills relevant for success of the role including job-specific technical skills and interpersonal skills.
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