About the Role
Squarepoint Services US LLC seeks a Quantitative Researcher for its Volatility Team in New York, New York. This role involves formulating mathematical and simulation models for investment strategies, enhancing trading through computerized algorithms, and implementing sophisticated analyses to identify new statistical effects and develop quantitative strategies.
Responsibilities
- 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.
- 1 year of experience as a Quantitative Researcher, Quantitative Trader, or related position for a hedge fund or market maker.
- 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.
Skills
- Mathematical models
- Simulation models
- Statistical techniques
- Regression analysis
- Machine learning
- Statistical inference
- Financial skills
- Computer skills
- Shell scripting
- Python programming
- KDB/Q
- Excel/VBA
- Market structure
- Statistical arbitrage
- Options knowledge
- Data analysis
- Strategy development
- Risk management
Location
- New York, New York
Work Type
- 40 hours/week
Experience Level
- 1 year of experience as a Quantitative Researcher, Quantitative Trader, or related position
- At least one (1) years of employment experience with each of the following required skills
Education Level
- Master’s degree or foreign equivalent in Financial Engineering / Financial Mathematics or related
Salary/Compensations
- $160,000
- $185,000
About the Company
- Squarepoint Services US LLC
Equal Opportunity
- Squarepoint is an EEO/AA employer
