PhD​/Postdoc Quantitative Researcher​/Miami​/Chicago​/London

PhD/Postdoc Quantitative Researcher - New York/Miami/Chicago/London

Junior Quantitative Researcher – Systematic Strategies

My client is a leading global market‑maker who are searching for exceptional Quantitative Researchers to join high‑impact teams focused on systematic trading, predictive modelling, and machine learning research. These roles offer the opportunity to work in fast‑paced, collaborative environments where research is directly connected to live PnL.

Teams vary in focus — from FX‑driven research groups to multi‑asset portfolio construction and optimization, but all are looking for individuals with Post‑Doctoral Research, technical depth, and a passion for markets.

• Conduct statistical and machine learning research on large, high‑dimensional datasets (including alternative data)
• Develop and improve predictive models, trading signals, and systematic strategies
• Backtest and deploy models in live trading environments
• Contribute to portfolio optimisation and risk modeling
• Collaborate with engineers and traders to refine models and drive performance
• Continuously iterate based on model behaviour, market dynamics, and new data

• Currently completing or recently completed a PhD or Postdoc in mathematics, statistics, physics, computer science, engineering, or related quantitative fields
• Strong background in statistical modelling, machine learning, and data analysis
• Proficiency in Python and at least one compiled language (e.g., C++)
• Experience working in a data‑driven research environment with practical application
• Strong analytical thinking and a track record of solving complex problems
• Excellent communication skills — able to clearly articulate complex ideas

• Exposure to financial markets, portfolio construction, or trading strategy development
• Familiarity with time‑series analysis, NLP, or pattern recognition techniques
• Experience with additional tools such as R, MATLAB, or ML frameworks

• Participation or accolades in elite quantitative competitions (e.g., International Mathematical Olympiad, Putnam Competition, ICPC, Kaggle, or other national/international math and coding contests)
• Top academic performance, such as graduating first in class, Dean’s List, or ranked in the top percentile of degree cohort
• Publication record in top‑tier journals or conferences (e.g., NeurIPS, ICML, JMLR, etc.)
• Awards, fellowships, or grants recognizing exceptional academic or research performance

• Seniority level:
  Not Applicable
• Employment type:
  
  Full‑time
• Job function:
  Finance
• Location:
  
  New York, NY
• Salary range: $72,500.00 – $80,000.00 (estimate)

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