PhD Quant Researcher - ML for Live Market Strategies

Trexquant Investment LP

New York (NY)

On-site

USD 150,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Competitive salary plus bonus
Fully covered health insurance for you and dependents
Weekly company meals
Pre-tax commuter benefits

Job summary

Trexquant Investment LP seeks a Quantitative Researcher in New York City to develop machine learning models that identify predictive patterns in financial markets. As a Quantitative Researcher, you will work with large datasets, collaborate with experienced researchers, and develop innovative statistical methods.

This position offers a competitive salary of $150,000 to $200,000 plus bonuses, with comprehensive health benefits and a collaborative work environment. You will have the opportunity to impact live trading and contribute to cutting-edge research.

Qualifications

  • PhD in a STEM discipline.
  • Strong interest in machine learning and statistics.
  • Excellent programming skills in Python.
  • Outstanding analytical and problem-solving abilities.

Responsibilities

  • Develop machine learning models for financial market prediction.
  • Work with large datasets to uncover meaningful signals.
  • Collaborate with multidisciplinary teams to transform research into strategies.

Skills

Machine learning
Statistics
Python programming
Analytical skills
Problem-solving

Education

PhD in Computer Science, Physics, Mathematics, Statistics, Engineering, Economics

Job description

Trexquant Investment LP seeks a Quantitative Researcher in New York City to develop machine learning models that identify predictive patterns in financial markets. As a Quantitative Researcher, you will work with large datasets, collaborate with experienced researchers, and develop innovative statistical methods.

This position offers a competitive salary of $150,000 to $200,000 plus bonuses, with comprehensive health benefits and a collaborative work environment. You will have the opportunity to impact live trading and contribute to cutting-edge research.

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