Quant Researcher- Global Top Tier HFT Trading firm

Gravitas Recruitment Group Hong Kong; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading recruitment firm is seeking a Quantitative Analyst in Singapore to design and implement trading algorithms. Candidates should possess a degree in a STEM field and skills in Python or C++. Responsibilities include analyzing market data for patterns and creating analytical tools. This role is suitable for those with a strong background in mathematics and statistics, with an opportunity to work on real-world trading applications.

Qualifications

• Experience in quantitative trading is preferred but not a requirement.
• Strong background in mathematics and statistics.
• Solid data-mining and analysis skills, with large datasets.

Responsibilities

• Designing, implementing and deploying trading algorithms.
• Researching high to mid frequency alphas.
• Exploring trading ideas by analyzing market data.

Skills

Quantitative trading

Back-testing

Statistical techniques

Data mining

Python programming

C++ programming

Education

Bachelors, Masters or PhD in Mathematics, Statistics, Computer Science

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++