Quantitative Researcher - Build Trading Signals & Models

DRW; New York (NY); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Comprehensive employee benefits

401k with employer match

Annual discretionary bonus

Job summary

A diversified trading firm in New York is seeking a Quantitative Researcher to apply statistical and machine learning methods to develop trading models. The ideal candidate will have 2+ years of experience in statistical arbitrage, strong programming skills in Python, and a relevant degree. This role offers a competitive salary ranging from $200,000 to $300,000, alongside additional discretionary bonuses and a comprehensive benefits package.

Qualifications

• 2+ years of prior work experience in statistical arbitrage or systematic trading research.
• Proven ability to conduct research with large, noisy real‑world datasets.
• Deep‑diving, detail‑oriented thinker with a strong bias for action.

Responsibilities

• Apply statistical and machine learning methods to build trading models.
• Contribute across the full strategy lifecycle.
• Prototype new ideas and write production-quality code.

Skills

Statistical arbitrage

Machine learning

Python for data analysis

C++

Research with large datasets

Education

Degree in statistics, computer science, physics, mathematics or economics

Job description

A diversified trading firm in New York is seeking a Quantitative Researcher to apply statistical and machine learning methods to develop trading models. The ideal candidate will have 2+ years of experience in statistical arbitrage, strong programming skills in Python, and a relevant degree. This role offers a competitive salary ranging from $200,000 to $300,000, alongside additional discretionary bonuses and a comprehensive benefits package.