Quantitative Researcher, Systematic Equities (ML)

Quant Blueprint LLC; Hong Kong; On-site; HKD 626,959 - 940,438; Full time

Job summary

Quant Blueprint LLC is seeking a Quantitative Researcher with expertise in systematic equities trading. This role involves working alongside the Senior Portfolio Manager to develop innovative trading strategies, focused on analyzing financial datasets and machine learning implementations.

The ideal candidate should possess a strong background in data science with over 3 years of relevant experience in systematic trading, demonstrated proficiency in Python, and a degree in a relevant STEM field. The position may be based in Hong Kong, London, or Dubai.

Qualifications

• 3+ years of experience in systematic trading, focusing on equities.
• Hands-on experience with data manipulation and feature engineering.
• Demonstrated knowledge of machine learning and statistical techniques.

Responsibilities

• Develop systematic trading strategies with a focus on idea generation and data analysis.
• Analyze and clean large financial datasets.
• Implement scalable machine learning frameworks.

Skills

Proficient in modern data science tools

Expert in Python

3+ years of experience in systematic trading

Statistical analysis and mathematical modelling

Education

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

Tools

Jupyter

pandas

numpy

sklearn

KDB/Q

Job description

Quant Blueprint LLC is seeking a Quantitative Researcher with expertise in systematic equities trading. This role involves working alongside the Senior Portfolio Manager to develop innovative trading strategies, focused on analyzing financial datasets and machine learning implementations.

The ideal candidate should possess a strong background in data science with over 3 years of relevant experience in systematic trading, demonstrated proficiency in Python, and a degree in a relevant STEM field. The position may be based in Hong Kong, London, or Dubai.