Global Macro Quant Researcher - Python & Signals

Jain Global; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Jain Global seeks a Quantitative Research Analyst to work with a global macro portfolio manager focused on G3 rates, inflation, and FX. The role blends advanced quantitative work with hands-on programming in Python to develop tests and new signals.

You will evaluate ideas, source and clean large datasets, backtest models, and present findings to the portfolio manager. Five-plus years of relevant experience and strong independent research skills are required; willingness to work in person is

Qualifications

• Five-plus years of relevant professional, academic, or research experience.
• PhD and postdoctoral work may count toward requirement.
• Excellent quantitative reasoning and intellectual ability.
• Strong Python programming skills with data handling and debugging.
• Ability to take ideas through full research process from data collection to implementation.

Responsibilities

• Conduct applied quantitative research across rates, rates volatility, inflation, and FX.
• Evaluate academic papers, technical articles, and other research for investment applications.
• Translate research ideas into testable hypotheses, models, signals, and tools.
• Source, organize, clean, and analyze large or complex datasets.
• Implement, debug, backtest, and improve quantitative models in Python.
• Research ways to improve existing investment processes and identify new sources of return.
• Present findings clearly to the portfolio manager and take feedback into account.
• Independently propose new research projects and lead execution.
• Build practical research tools and user interfaces when needed.

Skills

Python programming

Quantitative reasoning

Independent research

Data handling

Communication with PM

Education

PhD or advanced degree

Tools

Python

Job description

Jain Global seeks a Quantitative Research Analyst to work with a global macro portfolio manager focused on G3 rates, inflation, and FX. The role blends advanced quantitative work with hands-on programming in Python to develop tests and new signals.

You will evaluate ideas, source and clean large datasets, backtest models, and present findings to the portfolio manager. Five-plus years of relevant experience and strong independent research skills are required; willingness to work in person is