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Quantitative Equity Researcher

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YipitData

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Location:
United States

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Category:
Finance

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Contract Type:
Not provided

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Salary:

250000.00 USD / Year
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Job Description:

We are hiring a fully-remote Quantitative Equity Researcher to join our growing systematic product team. This is a strategic client-facing role that will split its time between publishing research notes, communicating findings to systematic hedge funds, and evaluating YipitData’s alternative data to develop and test new factors and signals. Your research directly supports product revenue through publishable research, client adoption, and retention. This is a remote-friendly opportunity that can be performed from anywhere in the U.S.

Job Responsibility:

  • Develop and communicate via research notes systematic equity signals derived from alternative datasets, with rigorous validation and PIT controls
  • Occasionally travel (5-6x a year) for conferences and client meetings
  • Research datasets, develop use cases, and backtest factors, signals, and systematic strategies, including time-based out-of-sample validation and basic turnover assumptions
  • Collaborate cross-functionally with Product, Data, and Engineering teams to scale research into production-ready quant products
  • Shape the future of the quant business line by contributing to team strategy and process development at a critical inflection point for YipitData

Requirements:

  • Ability to explain research to investment audiences
  • Extensive systematic research experience in the U.S. equities, including cross-sectional equity factor construction and signal research
  • Track record of generating a pipeline of data-driven buy-side-focused research material
  • Experience translating fundamentals and estimates into systematic features and backtesting those
  • 4-5+ years of relevant experience in a position focused on medium-frequency quantitative equity research, plus a PhD in a quantitative field such as Finance, Econometrics, Financial Engineering, Mathematics, Statistics, or Computer Science is preferred, OR 6-8 years of relevant experience with a Master’s in a relevant field
  • Good grasp of statistics, econometrics, financial time series, factor, and signal modeling
  • Strong Python with reproducible research practices (e.g., git, testing, and efficient research code on large datasets)
What we offer:
  • Flexible work hours
  • Flexible vacation
  • Generous 401 (k) match
  • Parental leave
  • Team events
  • Wellness budget
  • Learning reimbursement
  • Equity

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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