Quantitative Researcher - Systematic Macro

Squarepoint Capital

$180K — $225K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree or foreign equivalent in STEM or Economics required.
  • Minimum 2 years of relevant experience in quantitative research or investment management.
  • Proficient in Python programming for financial modeling.
  • Strong background in statistical analysis including regression and time series methods.
  • Familiarity with macroeconomic data and its impact on financial markets.

Responsibilities

  • Advise on investment decisions through econometric and statistical model development.
  • Formulate mathematical models for trading strategies and restrictions.
  • Implement quantitative models to enhance trading algorithms.
  • Conduct robust statistical analyses to identify new patterns and strategies.
  • Perform testing and validation of trading simulations and applications.
  • Automate data processing tasks for trading strategies using Python.
  • Monitor and manage risk associated with live trading automations.

Benefits

  • Health, dental, and vision insurance.
  • Retirement plans with employer matching.
  • Generous paid time off and holidays.
  • Professional development opportunities.
  • Flexible work arrangements.
Full Job Description
Squarepoint Services US LLC seeks a/an Quantitative Researcher - Systematic Macro for its New York, New York location.

Duties: On behalf of an investment management firm, advise on the employer's investment decisions by developing econometric/statistical models to analyze and forecast price movements of financial securities and related economic/policy/political conditions across countries. Formulate mathematical and simulation models of investment strategies, 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 Python to automate daily data dependency processing for trading strategies. Manage live trading automations and perform continuous monitoring of risk related to live trading automations.

Requirements: Must have a minimum of a Master's degree or foreign equivalent in any STEM (Science, Technology, Engineering, or Math) field or Economics and 2 years of experience as a Quantitative Researcher, Investment Process Associate, or related position for an investment/asset management organization. Must have at least two (2) years of employment experience with each of the following required skills: Macroeconomic data and their impact on asset prices; Macroeconomic Relationships; Programming in Python; Statistical Analysis (hypothesis testing, time series analysis, linear regression); Knowledge of worldwide macroeconomic release details; Model building to predict macroeconomic variables ; Knowledge of methods and datasets used by the Bureau of Labor Statistics (BLS) to create various macroeconomic indices

Salary / Rate Minimum/yr: $180,000

Salary / Rate Maximum/yr: $225,000

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.

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