Systematic Equities Quant & Research Developer

Quant Blueprint LLC; Hong Kong; On-site; HKD 626,959 - 1,018,808; Full time

Job summary

Quant Blueprint LLC is seeking a Quantitative Researcher/Developer to join a collaborative trading team in Hong Kong, focusing on systematic trading strategies in equities markets.

The ideal candidate will have strong programming skills in Python, a master's or PhD in a STEM field, and 3-10 years of experience in quantitative equity trading. Engage in alpha research and model implementation while collaborating closely with the Senior Portfolio Manager.

This role offers the opportunity to work with sophisticated software tools and contribute significantly to the investment process.

Qualifications

• 3-10 years of experience in quantitative equity trading for EM, focusing on Asian markets.
• Experience building and working with large datasets.
• Practical experience in financial data processing, alpha research, and back testing.

Responsibilities

• Work on alpha research and development with a focus on idea generation and data gathering.
• Combine financial insights with statistical learning techniques to build predictive models.
• Collaborate with the Senior Portfolio Manager in a transparent environment.

Skills

Strong programming skills in Python

Analytical skills

Quantitative skills

Communication skills

Education

Masters or PhD degree in STEM field from a top ranked university

Tools

Python-based software tools

Job description

Quant Blueprint LLC is seeking a Quantitative Researcher/Developer to join a collaborative trading team in Hong Kong, focusing on systematic trading strategies in equities markets.

The ideal candidate will have strong programming skills in Python, a master's or PhD in a STEM field, and 3-10 years of experience in quantitative equity trading. Engage in alpha research and model implementation while collaborating closely with the Senior Portfolio Manager.

This role offers the opportunity to work with sophisticated software tools and contribute significantly to the investment process.