Quantitative Researcher, Market Structure Research at Square Point Capital USA

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

200000.0

Posted On

15 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Probability Theory, Linear Algebra, Coding with Python, KDB/Q, Machine Learning, Financial Knowledge, Data Analysis, Cleaning and Handling Large Datasets

Industry

Financial Services

Description

Squarepoint Services US LLC seeks a Quantitative Researcher - Market Structure Research for its New York, New York location. Duties: 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. 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. 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. Coordinate team efforts to build, validate, release and maintain 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. Map out, prioritize, and lead research projects based upon estimation of potential future profits and financial risk. Participate in investment senior level decision making including risk allocation of quantitative trading strategies. Represent company interests in interactions with company‘s counterparties. REQ: Must have a minimum of a Master’s degree or foreign equivalent in any STEM (Science, Technology, Engineering, or Math), Financial Economics or related field of study and 2 years of experience as a Quantitative Researcher or related position for an investment/asset management organization. Must have at least two years of employment experience with each of the following required skills: Probability Theory and Linear Algebra; Coding with Python, KDB/Q; Machine Learning; Financial knowledge and understanding Asset Classes and Markets to build strong signals; Data analysis; Cleaning and handling large datasets Salary / Rate Minimum/yr: $160,000 Salary / Rate Maximum/yr: $200,000 40 hrs/we. 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: Squarepoint is an EEO/AA employer.

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Responsibilities

The Quantitative Researcher will formulate mathematical and simulation models of investment strategies to enhance trading through computerized algorithms. They will coordinate team efforts to build, validate, release, and maintain highly complex automated trading models.