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Quantitative Researcher - Systematic Trading

  • Quantitative Researcher - Systematic Trading job type Posted on: Nov 08, 2026
  • Quantitative Researcher - Systematic Trading experience level Delmar Nord
  • Quantitative Researcher - Systematic Trading employment type New York, New York
  • Quantitative Researcher - Systematic Trading employment type Onsite
  • Quantitative Researcher - Systematic Trading salary Full-time

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Job Title :

Quantitative Researcher - Systematic Trading

Job Type :

Full-Time

Job Location :

New York New York United States

Remote :

No

Jobcon Logo Job Description :

Quantitative Researcher – Systematic TradingOur client, a leading global quantitative trading firm, is seeking a Quantitative Researcher to join its growing research effort. The firm combines a strong technology platform and high-quality data with a collaborative, research-driven culture where talented people are given real ownership of their work.This is an opportunity for a rigorous, creative researcher to work closely with experienced traders and see their ideas move from research into live production.ResponsibilitiesResearch, develop, and test systematic trading signals across global marketsAnalyze large datasets to identify new sources of alphaBuild and refine models for prediction, execution, and portfolio constructionPartner with traders and engineers to deploy and monitor strategies in productionContinuously evaluate and improve the performance and risk profile of existing strategiesIdeal BackgroundAdvanced degree (PhD or Master’s) in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative field4+ years of experience in quantitative research at a trading firm, hedge fund, or market makerStrong foundation in statistics, machine learning, time-series analysis, and optimizationExperience working with large, granular financial datasetsUnderstanding of market microstructure and systematic trading strategiesProficiency in Python; experience with C++ is a plusIntellectual curiosity, attention to detail, and the ability to communicate research clearlyThe opportunity offers excellent infrastructure and data, a highly collaborative environment, meaningful ownership of research, and highly competitive compensation tied to performance.All conversations will be handled with complete confidentiality -

Jobcon Logo Position Details

Posted:

Nov 08, 2026

Reference Number:

10440_4485390166

Employment:

Full-time

City:

New York

Job Origin:

APPCAST_CPC

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Quantitative Researcher – Systematic TradingOur client, a leading global quantitative trading firm, is seeking a Quantitative Researcher to join its growing research effort. The firm combines a strong technology platform and high-quality data with a collaborative, research-driven culture where talented people are given real ownership of their work.This is an opportunity for a rigorous, creative researcher to work closely with experienced traders and see their ideas move from research into live production.ResponsibilitiesResearch, develop, and test systematic trading signals across global marketsAnalyze large datasets to identify new sources of alphaBuild and refine models for prediction, execution, and portfolio constructionPartner with traders and engineers to deploy and monitor strategies in productionContinuously evaluate and improve the performance and risk profile of existing strategiesIdeal BackgroundAdvanced degree (PhD or Master’s) in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative field4+ years of experience in quantitative research at a trading firm, hedge fund, or market makerStrong foundation in statistics, machine learning, time-series analysis, and optimizationExperience working with large, granular financial datasetsUnderstanding of market microstructure and systematic trading strategiesProficiency in Python; experience with C++ is a plusIntellectual curiosity, attention to detail, and the ability to communicate research clearlyThe opportunity offers excellent infrastructure and data, a highly collaborative environment, meaningful ownership of research, and highly competitive compensation tied to performance.All conversations will be handled with complete confidentiality -

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