Quantitative Researcher - PhD (USA)

Turn Research Into Real-World Impact.At Trexquant, we believe exceptional research belongs in the real world.We're a systematic hedge fund that applies cutting-edge machine learning, statistics, and large-scale data analysis to global financial markets. Every day, our researchers tackle complex, open-ended problems using massive datasets, novel algorithms, and scientific experimentation - with the opportunity to see their ideas deployed in live markets.Whether your background is in computer science, physics, mathematics, engineering, economics, statistics, or another STEM discipline, you'll find an environment where intellectual curiosity, rigorous research, and innovation are at the center of everything we do.No prior finance experience is required- we're looking for exceptional researchers and problem solvers.Responsibilities{{:}}As a Quantitative Researcher, you'll help develop the next generation of machine learning models that identify predictive patterns in global financial markets.Your work may include{{:}}Designing and implementing state-of-the-art machine learning models for large-scale prediction problemsWorking with massive structured and alternative datasets to uncover meaningful signalsDeveloping novel statistical methods and predictive featuresReading, evaluating, and extending cutting-edge academic researchDesigning experiments, testing hypotheses, and validating ideas through simulationCollaborating with experienced researchers across disciplines to transform research into production-ready strategiesYour research has a direct impact - from idea generation to live tradingFind the Team That Fits Your StrengthsRather than hiring into a single narrow role, we match researchers to the team where they can have the greatest impact.Alpha ResearchDiscover predictive signals by developing new features, exploring diverse datasets, and building machine learning models that forecast market behavior.Data ScienceIdentify, acquire, engineer, and analyze large and unconventional datasets while partnering closely with researchers to unlock new predictive insights.Strategy ResearchDevelop systematic trading strategies using modern statistical and machine learning techniques, validating ideas against real market data through rigorous experimentation.Throughout the interview process, we'll learn about your research interests, technical strengths, and career goals to determine the team that's the best fit for you.RequirementsPhD in Computer Science, Physics, Mathematics, Statistics, Engineering, Economics, or another STEM disciplineStrong interest in machine learning, statistics, or artificial intelligenceExcellent programming skills in PythonOutstanding analytical and problem-solving abilitiesAbility to work independently while collaborating effectively with multidisciplinary teamsCuriosity, creativity, and a passion for solving difficult problemsWhat Makes Trexquant DifferentWork on intellectually challenging, open-ended research problemsApply cutting-edge machine learning to real-world systems with measurable impactCollaborate with accomplished researchers from diverse scientific disciplinesAccess large-scale datasets and significant computational resourcesSee successful ideas transition from research into productionJoin a culture that values curiosity, experimentation, and scientific rigorBenefitsCompetitive salary plus bonus bonus based on individual and company performanceCollaborative, Casual, and friendly work environmentPPO Health, dental and vision insurance premiums fully covered for you and your dependentsPre-tax commuter benefitsWeekly company mealsApplications are open for both Stamford and New York City offices.The base salary for this role is $150,000 to $200,000, and will be determined based on the candidate's educational background and professional experience. Base salary is one component of Trexquant's total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.Trexquant is an Equal Opportunity Employer