Quantitative Researcher: ML Signals for Markets

Trexquant Investment LP; New York (NY); On-site; USD 130,000 - 200,000; Full time

Benefits offered by this job

Competitive salary plus bonus

Full health, dental and vision insurance premiums

Pre-tax commuter benefits

Weekly company meals

Job summary

A systematic hedge fund in New York is seeking an experienced Quantitative Researcher to develop machine learning strategies aimed at predicting liquid assets. The position involves analyzing large data sets, working closely with a team, and implementing advanced quantitative finance techniques. Successful candidates will possess a degree in a STEM field, strong programming skills in Python, and a passion for machine learning. This role offers a competitive salary and a collaborative work environment.

Qualifications

• 2+ years in a systematic trading environment.
• Fluent with programming languages like Python.
• Passion for machine learning.

Responsibilities

• Design and optimize machine learning models for liquid asset prediction.
• Analyze large datasets to identify actionable trading signals.
• Implement state-of-the-art quantitative finance research.
• Collaborate with researchers for hypothesis testing and strategy refinement.

Skills

Machine learning

Programming (Python)

Strong problem-solving skills

Data analysis

Team collaboration

Education

BS/MS/PhD in any STEM field

Job description

A systematic hedge fund in New York is seeking an experienced Quantitative Researcher to develop machine learning strategies aimed at predicting liquid assets. The position involves analyzing large data sets, working closely with a team, and implementing advanced quantitative finance techniques. Successful candidates will possess a degree in a STEM field, strong programming skills in Python, and a passion for machine learning. This role offers a competitive salary and a collaborative work environment.