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Squarepoint Capital

Manages quant-driven, systematic portfolios globally

Quantitative Researcher - Volatility, Medium-Frequency

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$160k - $185k /yrIn-person

About the Job

Requirements

  • A minimum of a Master’s degree or foreign equivalent in Financial Engineering or a related field of study is required.
  • At least one year of experience as a Quantitative Researcher or in a related position for an investment, asset management, or financial market research organization is required.
  • At least one year of experience in quantitative modeling and statistical analysis is required.
  • At least one year of experience in multi-asset portfolio construction and risk management is required.
  • At least one year of experience in algorithmic trading and execution optimization is required.
  • At least one year of experience in market-impact analysis is required.
  • At least one year of experience in alpha research, signal development, and validation is required.
  • At least one year of experience programming with Python for data analysis and strategy development is required.

Responsibilities

  • Construct, analyze, and manage single-stock portfolios.
  • Conduct equity execution research to optimize trading strategies.
  • Perform market-impact analysis to minimize trading costs.
  • Research and enhance the monetization of alpha signals.
  • Monitor portfolio exposures, risk metrics, factor sensitivities, and performance attribution daily to support risk management.
  • Produce research reports and quantitative insights on portfolio performance, trading costs, and signal effectiveness.

About the Company

Squarepoint Capital

Manages quant-driven, systematic portfolios globally

Squarepoint Capital is a global investment manager that uses quantitative and systematic strategies to build diversified portfolios across asset classes, trading frequencies, and global markets for institutional investors. Its approach relies on a large data platform and advanced technology to power research and model-based trading decisions, with portfolios continually adjusted in response to market data. The firm differentiates itself through a broad, multi-asset, multi-frequency framework, a global footprint with offices in thirteen cities, and a collaborative culture that emphasizes rigorous research and disciplined execution. Its goal is to deliver attractive, risk-aware returns for pension funds, endowments, and sovereign wealth funds through systematic, data-driven investment processes.

Company size
501-1,000
Company stage
Not listed
Total funding
$1.4B
Headquarters
London, United Kingdom
Founded
2014

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