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Quantitative Researcher – Systematic Trading Our 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.
Responsibilities:
  • Research, develop, and test systematic trading signals across global markets
  • Analyze large datasets to identify new sources of alpha
  • Build and refine models for prediction, execution, and portfolio construction
  • Partner with traders and engineers to deploy and monitor strategies in production
  • Continuously evaluate and improve the performance and risk profile of existing strategies
Ideal Background:
  • Advanced degree (PhD or Master’s) in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative field 4+ years of experience in quantitative research at a trading firm, hedge fund, or market maker
  • Strong foundation in statistics, machine learning, time-series analysis, and optimization
  • Experience working with large, granular financial datasets
  • Understanding of market microstructure and systematic trading strategies
  • Proficiency in Python; experience with C++ is a plus
  • Intellectual curiosity, attention to detail, and the ability to communicate research clearly
The 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 - gareth@delmarnord.com

Also on the board Same function, level within a rung

Level

Senior

Location

Brooklyn, NY

Occupation

Financial Quantitative Analysts

Industry

Portfolio Management and Investment Advice

Posted

yesterday

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