Quantitative Developer

Borr Drilling; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

A leading company in private fund management seeks a skilled professional for trading system development. The role involves designing and maintaining trading interfaces, working with large data sets and optimizing algorithms in a fast-paced FinTech environment. Candidates should have a strong programming background, particularly in C++, and relevant experience in high-frequency trading systems.

Qualifications

• Bachelor's degree or above in Computer Science or Engineering.
• 2-5 years experience in FinTech development of low-latency trading systems.
• Proficiency in software development using C++ and other languages.

Responsibilities

• Responsible for trading system interface development and maintenance.
• Design and maintain tools for data processing and strategy simulation.
• Optimize trading system including network programming and high performance computing.

Skills

Programming

Data Analysis

Statistical Modelling

Analytical Abilities

Education

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Job description

MS Capital is a private fund management company with a strong founding team of long-accumulated experience in strategy modelling, trading system and platform development, adopting advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, to achieve sustained and stable returns. We are expending the team, searching for experienced candidates have strong background & skills in programing, statistics modelling, data analysis, etc.

Roles & Responsibilities:

• Understand the trading system design, responsible for trading system interface development, maintenance and related application requirements
• Designing, building and maintaining an efficient research pipeline and tools for data processing, strategy simulation and alpha generation
• Develop and continuously optimizing trading system, including network programming, database, high performance computing optimization, etc.

Qualifications:

• Bachelor's degree or above in Computer Science, Engineering.
• Proficient in software development using C++ and other high level programming languages.
• Experience of working with large data sets and live data streaming
• Self-driven with strong analytical abilities to solve real-time challenges.
• Preferred to have 2~5 years of experience in FinTech industry, especially for development of low-latency high frequency trading system.

Interested applicants please apply directly here or send your resume to [e-mail]