Job Highlights:

• Exceptional mathematical and statistical modelling skills coupled with excellent logical reasoning, problem-solving, analytical and programming skills to build profitable trading solutions for automated trading systems.
• Passionate about financial markets, technology advancement, mathematics and software development.
• 2+ years of research experience in high-frequency trading is much preferred.
• Ability to thrive in a fast-paced and competitive environment.
• Less experienced Quant Developer are also welcome to apply.

Company Culture:

• Leading international proprietary trading / liquidity providing firms in the low-latency / high-frequency arena.
• Dynamic, fast-paced, collaborative, flat team environment.

Job Description:

Job Responsibilities:

• Work closely with local and/ global Traders & Quant Analysts to understand the business needs and ensure where and how technology and systems are ideally built for the problems at hand.
• Proactively provide creative inputs in order to engineer and enhance new/existing trading algorithms, infrastructure and strategies.

• Design, develop, test and deploy high-frequency trading software tools to analyse data for patterns.
• Develop, augment and calibrate exchange simulators.

• Identify potential areas for optimization and performance enhancements, including suggestions for ongoing maintenance and improvement of overall code quality.
• Utilize exhaustive testing and debugging skills as part of the development process.
• Keep abreast of industry development and trends to maintain ongoing business awareness and a competitive edge.

Key Requirements:

• Graduate from top-tier universities with a Bachelor degree, Master degree or a PhD degree preferred in Mathematics, Statistics or other equivalent disciplines with strong academic results.
• 2+ years of research experience in high-frequency trading is much preferred.
• Excellent skills in algorithms development, statistical methods (auto-regression, auto-correction and Principal Component Analysis), mathematical modelling, back-testing and simulation.
• Advanced knowledge in data mining, Machine Learning, SQL, data structures and multi-threading.
• Excellent analytical skills and a strong desire to solve complicated problems programmatically.
• Proficient in C++, Matlab, R, Perl, Python and Linux.
• Good understanding of the software life cycle and software testing tools.
• Demonstrated experience working with and drawing conclusions from large data sets.
• Ability to thrive in a fast-paced and competitive environment.
• Strong written and verbal communication skills.

Personality Fit:

• Enthusiastic about taking a hands-on approach and collaborating with top Trading, Quant & Technical talent.
• Passionate about financial markets, technology advancement, mathematics and software development.
• Self-motivated, ability to work well in teams and also individually and is open to new challenges.
• Self-directed and be able to work productively under minimal supervision.
• Excellent critical thinking, detail-oriented and prudent.
• Flexible & can multi-task.

Excellent opportunity and exposures:

• Have a direct impact on the company’s trading profits through developing, maintaining and enhancing trading models, algorithms and systems to stay ahead in the highly competitive international financial markets.
• Will be surrounded by high calibre team members who are eager to solve difficult challenges together.
• Competitive package including performance-driven bonus.