Quantitative Developer, Systematic Equities & ML

Quant Blueprint LLC; Singapore; On-site; SGD 89,502 - 127,861; Full time

Job summary

Quant Blueprint LLC is seeking a Quantitative Researcher in Singapore to develop systematic trading strategies in global equities. You will be responsible for evaluating financial datasets, implementing machine learning frameworks, and collaborating closely with the Senior Portfolio Manager.

The ideal candidate has a strong background in data science, with excellent analytical skills and familiarity with statistical analysis. A Bachelor's or Master's in a relevant field is a must, along with experience in a systematic trading environment.

Qualifications

• 3+ years of experience in a systematic trading environment focused on equities.
• Experience with vendor data sets, including assessing, cleaning, and creating features.
• Hands-on experience applying machine learning in financial contexts.

Responsibilities

• Develop systematic trading strategies with a focus on data analysis.
• Analyze large financial datasets using statistical techniques.
• Optimize and implement machine learning frameworks.

Skills

Data science tools (Jupyter, pandas, numpy, sklearn)

Machine learning experience

Python expertise

Statistical analysis and mathematical modeling

Communication and problem-solving skills

Education

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics or related field

Tools

KDB/Q

Job description

Quant Blueprint LLC is seeking a Quantitative Researcher in Singapore to develop systematic trading strategies in global equities. You will be responsible for evaluating financial datasets, implementing machine learning frameworks, and collaborating closely with the Senior Portfolio Manager.

The ideal candidate has a strong background in data science, with excellent analytical skills and familiarity with statistical analysis. A Bachelor's or Master's in a relevant field is a must, along with experience in a systematic trading environment.