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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.