Quantitative Researcher
Squarepoint Capital
Quantitative Researcher
Squarepoint Capital
Manages quant-driven, systematic portfolios globally
Squarepoint Services US LLC seeks a Quantitative Researcher (Volatility - Medium- Frequency) for its New York, New York location.
Duties: 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 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, signal effectiveness)
Requirements: Must have a minimum of a Master’s degree or foreign equivalent in Financial Engineering or related field of study and 1 year of experience as a Quantitative Researcher or related position for an investment/asset management or financial market research organization. Must have at least one (1) year of employment experience with each of the following required skills: Quantitative modeling and statistical analysis;Multi‑asset portfolio construction and risk management; Algorithmic trading and execution optimization; Market‑impact analysis; Alpha research, signal development, and validation; Programming using Python for data analysis and strategy development Salary / Rate Minimum/yr: $160,000 Salary / Rate Maximum/yr: $185,.000 40 hrs/wk. The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available. Squarepoint is an EEO/AA employer.
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.
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