Quantitative Researcher - Equity

Position

Quantitative Researcher – Equity

Location: New York, NY

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/computer skills 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 using such effects.
• Perform validation and testing of 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 monitor risk related to live trading automatons.
• Leverage asset-class-specific experience to identify new patterns in market data and explore methods to optimize execution costs.
• Apply extensive knowledge of market structure and statistical arbitrage to improve existing trading strategies and develop new ones.
• Assist senior quantitative researchers in building, validating, releasing, and maintaining highly complex automated trading models.
• Pilot research projects spanning multiple teams across regions to develop new mathematical models and analytical tools for critical investment decision making.

Requirements

• Master’s degree or foreign equivalent in a STEM field (Science, Technology, Engineering, or Math), Economics, or related field, plus 1 year of experience as a Graduate Quantitative Researcher, Investment Process Associate, or related position in an investment/asset management organization.
• At least 1 year of employment experience with the following required skills:
  • Use Python, KDB/Q, and BigQuery to collect, clean, and process large unstructured data from various sources.
  • Write Python scripts to implement numerical optimization routines, visualize data, and write KDB database queries to verify and clean real-time data.
  • Use machine learning methods to identify patterns and trends in large datasets and create models to automatically predict such trends.
  • Implement optimization methods to assist business decision making.
  • Use Big Data analysis frameworks to analyze dozens of terabytes of data and develop internal business software to visualize data in a user-friendly manner.
  • Develop time series forecasting models and improve model accuracy.

Salary / Rate: Minimum $160,000 per year; Maximum $250,000 per year.

Work Information

40 hours per week. The stated salary/rate includes base compensation; additional benefits or compensation may apply. Squarepoint is an EEO/AA employer.

Squarepoint is an EEO/AA employer.