Quant Researcher - Equities

QUANT RESEARCHER - EQUITIESJunior to Mid-Level | 0-5 years of relevant experienceWe are looking for a quantitative researcher to join our research team in a rotational junior-to-mid-level role covering quantitativeresearch, development, and trading. The role offers broad exposure to the full systematic investment process and is well suited forcandidates with strong quantitative foundations who want to develop practical experience in alpha research and portfolioconstruction.Job Dutiesl Conduct quantitative research on equities, including idea generation, data analysis, signal research, model development, andbacktesting.l Work with large-scale financial datasets and develop systematic research workflows for alpha generation and validation.l Apply statistical methods, machine learning, and other quantitative techniques to real-world financial modeling problems.l Participate in portfolio construction, portfolio optimization, risk analysis, and strategy evaluation.l Develop research tools, prototypes, and supporting code used in the investment process.l Work closely with senior researchers, portfolio managers, developers, and traders across research, development, and tradingworkflows.l Document research methodology, assumptions, results, and implementation considerations clearly and reproducibly.Qualificationsl Master's degree or above in Mathematics, Statistics, Computer Science, Physics, Engineering, Finance, Economics, or another highlyquantitative discipline.l 0-5 years of relevant professional, academic, internship, or research experience.l Strong foundation in probability, statistics, quantitative modeling, and data analysis.l Experience with quantitative finance, alpha research, portfolio optimization, or systematic investment research is preferred.l Hands-on experience working with financial datasets and translating data into testable quantitative hypotheses.l Experience applying machine learning and/or statistical learning techniques to quantitative finance or other data-intensive problems.l Strong Python programming skills and experience with scientific computing / machine-learning packages.l Experience with SQL, Java, C++, and/or Matlab is a plus.l Strong analytical thinking, attention to detail, and ability to work independently on open-ended research problems.l Good communication and teamwork skills, with the ability to explain research ideas and results clearly.What we offerl A true startup environment: small, collegial, fast-paced, and research-oriented; free of bureaucracy or hierarchy.l Competitive compensation and benefits packages, including PTO, medical/dental/vision coverage, 401(k) with profit sharing, andflexible working arrangements.l Full alignment between employees' career goals and the firm's growth objectives.l Work visa and green card sponsorship for candidates who require such.l The annual base salary range for this role is $100,000-$200,000 (USD) if located in New York, which does not include discretionarybonus compensation or our comprehensive benefits package. This role may be eligible for discretionary bonuses, which couldconstitute a significant portion of total compensation. Successful candidates' compensation and benefits will be determined inconsideration of various factors.How to applyKindly submit your application through our online application system, or alternatively, send your resume along with any supporting