Squarepoint Capital
Squarepoint Capital

35 Squarepoint Capital Operations Analyst Jobs Hiring Near You

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Squarepoint Capital Jobs Information

What is it like to work at Squarepoint Capital?

Squarepoint Capital is a global investment firm that values a collaborative and dynamic work environment, fostering a culture of innovation and teamwork among its employees. The company's structure is organized into various teams, including trading, research, and risk management, allowing for a diverse range of roles and opportunities for growth. Working at Squarepoint Capital may appeal to candidates seeking a challenging and fast-paced career in finance, with opportunities to contribute to the firm's mission of delivering exceptional investment returns to its clients.

What makes Squarepoint Capital an attractive place to work?

Squarepoint Capital is a leading global alternative investment firm known for its expertise in managing complex financial portfolios and navigating market volatility. The company fosters a dynamic work environment that encourages collaboration, innovation, and professional growth, with opportunities for employees to develop their skills and expertise in a fast-paced and challenging industry. By joining Squarepoint Capital, individuals can contribute to the firm's mission of delivering exceptional investment returns and gain valuable experience in a rapidly evolving financial landscape.
Infographic showing various Operations Analyst job openings at Squarepoint Capital in the United States as of August 2026, with employment types broken down into 3% Internship, and 97% Full Time. Highlights an 97% Physical, and 3% Hybrid job distribution.

Quantitative Researcher - Volatility (I)

Squarepoint Capital

New York, NY • On-site

$185K/yr

Full-time

Posted 25 days ago


Job description

Squarepoint Services US LLC seeks a Quantitative Researcher Volatility Team for its New York, New York location.
Duties: On behalf of an investment management firm formulate mathematical and simulation models of investment strategies, relating constants and variables, restrictions, alternatives, conflicting objectives, and numerical parameters for the enhancement of trading through computerized algorithms, as well as implementation of models. Utilize comprehensive knowledge of mathematical models and technologies, statistical techniques including regression analysis, machine learning, and statistical inference, and financial and computer skills in order to enhance investment strategies based on equities or other asset classes. Produce and implement sophisticated analyses describing new statistical effects, assessing robustness of effects, and developing new quantitative strategies making use of such effects. Perform validation and testing of both trading simulations and critical trading applications. Build applications utilizing Shell and Python to automate daily data dependency processing for trading strategies. Utilize KDB/Q and Python to analyze existing strategy behavior and propose and implement improvements. Utilize Excel/VBA mathematical models and KDB analysis tools to track market history of specific asset classes to evaluate future profit potentials and risk margins. Manage live trading automatons and perform continuous monitoring of risk related to live trading automatons. Leverage on asset-class-specific experience to find new patterns in market data and explore new methods to optimize execution costs. Utilize extensive knowledge of market structure and statistical arbitrage to improve on existing trading strategies and develop new trading strategies. Assist team's senior quantitative researcher's efforts in building, validating, releasing, and maintaining highly complex automated trading models. Pilot research projects spanning multiple teams across multiple regions to develop new mathematical models and analytical tools for critical investment decision making.
Requirements: Must have a minimum of a Master's degree or foreign equivalent in Financial Engineering / Financial Mathematics or related and 1 year of experience as a Quantitative Researcher, Quantitative Trader, or related position for a hedge fund or market maker. Must have at least one (1) years of employment experience with each of the following required skills: Utilize options knowledge to perform asset specific research and engage in real trading. Analyze, optimize, and blend different styles of signals that predict various targets in options market. Conduct option portfolio construction based on mathematical optimization problems. Simulate different systematic trade ideas and evaluate backtest performance. Develop monitoring reports for live strategies and perform risk management. Program in kdb+/q and python for data analysis and strategy development
Salary / Rate Minimum/yr: $160,000
Salary / Rate Maximum/yr: $185,000
40 hours/week. 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