Quant Researcher- Global Top Tier HFT Trading firm

Gravitas Recruitment Group Hong Kong; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading recruitment firm is seeking an expert to design and deploy trading algorithms in Singapore. This position requires strong mathematical skills, proficiency in programming languages such as Python or C++, and the ability to analyze large datasets. The ideal candidate should hold a degree in a relevant STEM field and have a background in quantitative trading. Engage in developing innovative tools and contribute to market data analysis within a dynamic trading environment.

Qualifications

• Bachelor's, Master's or PhD in a relevant STEM field required.
• Experience in quantitative trading is a plus but not mandatory.
• Strong background in mathematics and statistics essential.

Responsibilities

• Design and implement trading algorithms.
• Analyze market data for patterns.
• Develop tools for data analysis.

Skills

Quantitative trading understanding

Mathematics and statistics

Programming in Python or C++

Back-testing and simulation

Data-mining and analysis

Education

PhD in Mathematics, Statistics, Computer Science or equivalent STEM degree

Job description

Hong Kong, Shanghai, Singapore, Sydney

Responsibilities

• Designing, implementing and deploying trading algorithms
• Researching high to mid frequency alphas
• Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns
• Creating tools to analyze data for patterns and developing data platforms
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting and calibrating exchange simulators

Qualifications

• A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree
• Experience in quantitative trading is preferred but not a requirement
• A strong background in mathematics and statistics
• Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation and Principal Component Analysis)
• Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
• Familiarity with signal generation and statistical models
• Strong programming skills in Python or C++