Senior Quantitative Researcher

Numerai operates a quantitative global equity market-neutral hedge fund and data-science tournaments. Participants submit stock-market and crypto-market prediction models or signals, optionally staking NMR token rewards on their performance.

Maintainer signals as of 8/23/2026

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About Numerai

Numerai provides hedge-fund-quality, obfuscated market data and tournaments for data scientists to build and submit machine-learning models and market signals. It combines submitted models into a meta model used to predict markets and trades real capital through its quantitative global equity market-neutral hedge fund, which it describes as intended for institutional investors and certain accredited high-net-worth individuals. Its Numerai, Signals, and Crypto tournaments allow participants to submit predictions, receive scoring and diagnostics, and optionally stake NMR for payouts or burns based on performance.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will develop and evaluate alpha across market horizons and data types. You will estimate covariance and factor risk build diagnostics optimize portfolio construction and evaluate transaction costs. You will decide which data and research ideas to pursue write clear research reports productionize successful work and monitor results.

Requirements

  • PhD in mathematics statistics physics EECS or a comparable quantitative field or equivalent demonstrated depth
  • 7+ years of quantitative research experience
  • Experience with strategies that traded real capital
  • Deep knowledge of factor models risk decomposition portfolio optimization transaction cost modeling and execution
  • Strong statistical judgment and knowledge of overfitting
  • Excellent written communication
  • Python ownership across the full workflow

Responsibilities

  • Develop and evaluate alpha across horizons and data types
  • Estimate covariance and factor risk
  • Build diagnostics for degrading risk models
  • Formulate optimization problems and design constraints
  • Evaluate numerical conditioning and solver behavior
  • Model transaction costs and execution
  • Select data and productionize successful research
  • Write research reports and monitor production results

Benefits

  • Healthcare benefits
  • Work-from-home flexibility
  • YMCA membership
  • Significant equity