PhD/Postdoc Quantitative Researcher

PhD/Postdoc Quantitative ResearcherRole Overview: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.Key Responsibilities as a Quant Researcher:Conduct statistical and machine learning research on large, high-dimensional datasets (including alternative data)Develop and improve predictive models, trading signals, and systematic strategiesBacktest and deploy models in live trading environmentsContribute to portfolio optimization and risk modelingCollaborate with engineers and traders to refine models and drive performanceContinuously iterate based on model behavior, market dynamics, and new dataIdeal Candidate Profile as a Quant Researcher:Currently completing or recently completed a PhD or Postdoc in mathematics, statistics, physics, computer science, engineering, or related quantitative fieldsStrong background in statistical modeling, machine learning, and data analysisProficiency in Python and at least one compiled language (e.g., C++)Experience working in a data-driven research environment with practical applicationStrong analytical thinking and a track record of solving complex problemsExcellent communication skills — able to clearly articulate complex ideasPreferred Experience:Exposure to financial markets, portfolio construction, or trading strategy developmentFamiliarity with time-series analysis, NLP, or pattern recognition techniquesExperience with additional tools such as R, MATLAB, or ML frameworksAdditional Achievements: 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 cohortPublication record in top-tier journals or conferences (e.g., NeurIPS, ICML, JMLR, etc.)Awards, fellowships, or grants recognizing exceptional academic or research performance