System Development Lead-VP, Risk Management System

We are looking for a dynamic and passionate individual to join us as the System Development Lead in the Risk Management System. The incumbent will have the opportunity to develop and work with new technology. He/she will be part of the mission critical platform development team and will have the opportunity to work closely with seasoned, enthusiastic technologist across the IT Division as well as the exposure to work with various business stakeholders.

Responsibilities:
 

• Manage system development life cycle and leading for project implementation including the requirement definition, resource estimation, system design and development, functional and technical testing, production migration and documentation.
• Lead an internal and offshore development team for systems development and testing.
• Design and implement systems with modern technologies, high availability and scalability; investigate and resolve design defects and technical issues.
• Perform quality review for software design and code changes.
• Collaborate with teams across IT and business departments.
• Ensure system development and operation in accordance with the IT development standards and guidelines, and corporate policies and frameworks.
• Work at night shift and in public holiday if required.
   

Requirements:
 

• Degree in Computer Science, Information Technology, Mathematics, Statistics, Financial Engineering or related disciplines.
• 10+ years' system development experience in large scale systems, preferably in financial services industry.
• Strong skillsets in Java, C++, Python, Perl, RESTFul, SQL, React JS, JSX.
• Solid experience in application design and development in Spring Boot, Linux, data modelling, micro-services and containerized architecture platform.
• Experience in DevOps framework and tools (eg. Jira, Git, Jenkins, etc) and automated testing frameworks like Selenium, Jasmine or JUnit.
• Familiarity with object storage, databases, noSQL and data manipulation tools for handling and analyzing large datasets.
• Good analytical mindset, self-motivated and able to work independently.
• Knowledge and experience in cloud technology is preferred.
• Understanding of quantitative finance concepts, including derivatives pricing, risk management, and portfolio optimization is a definite advantage.
• Good in mathematics; knowledge in-memory db and messaging technologies is a plus.
• Good communication skill to work and interact with internal IT teams and business stakeholders.