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YipitData

Quantitative Equity Researcher

Posted 11 Days Ago
Easy Apply
Remote
Hiring Remotely in US
250K-350K Annually
Mid level
Easy Apply
Remote
Hiring Remotely in US
250K-350K Annually
Mid level
As a Quantitative Researcher, you'll develop strategies using alternative datasets to improve investment decisions, design and backtest models, and collaborate across teams to scale research into quant products.
The summary above was generated by AI

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

What It’s Like to Work at YipitData:

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals.

From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

  • Ownership That Matters: You’ll lead high-impact projects with real business outcomes
  • Rapid Growth: We compress years of learning into months
  • Merit Over Titles: Trust and responsibility are earned through execution, not tenure
  • Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention

If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.

About The Role:

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. 

NOTE: This role may be performed fully remotely within the United States.  If the remote work is performed outside of our offices (NYC, Miami, Austin, Mountain View), income may be subject to New York State tax withholding.

As a Quantitative Equity Researcher, you will

  • 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.

Must Have

  • 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

Our compensation package includes comprehensive benefits, perks, equity, and a competitive salary: 

  • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401 (k) match, parental leave, team events, a wellness budget, learning reimbursement, and more!
  • Your growth at YipitData is determined by your impact, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.
  • The annual compensation for this position is anticipated to be a base salary of $250,000, a $50,000 - $100,000 variable bonus, and equity. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, and abilities, as well as internal team benchmarks. The compensation package also includes equity.
  • This role may be performed fully remotely within the United States.  If the remote work is performed outside of our offices (NYC, Miami, Austin, Mountain View), income may be subject to New York State tax withholding.
  • Please note that for this position, we are NOT able to consider candidates who currently or in the future will require visa sponsorship.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.

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Top Skills

Econometrics
Machine Learning
Python
R
Statistical Modeling

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