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Quantitative Researcher - Data Science

ExperiencedNo visa sponsorship
Squarepoint Capital logo

at Squarepoint Capital

Hedge Funds

Posted 7 days ago

No clicks

**Quantitative Researcher - Data Science** - **Research & Model Development** - Drive independent and collaborative research on stats/prob theories. Develop, optimize, and expand financial models. Collaborate cross-functionally to enhance workflows and meet market demands. - **Experience & Education** - 2+ years as a Quant. Researcher in investment/asset management, with a Master's degree in STEM. - **Core Skills** - Proficient in Bayesian statistics, optimization, large dataset analysis, and fitting/evaluating ML models. Expertise in scientific computing and high-quality collaborative coding. - **Tech Stack** - Familiarity with Python, R, or MATLAB is essential; experience with SQL, Git, and data visualization tools a plus. - **Location & Salary** - Based in New York, NY, with a salary range of $150,000 - $185,000.

Compensation
$150,000 – $185,000 USD

Currency: $ (USD)

City
New York City
Country
United States

Full Job Description

Squarepoint Services US LLC seeks a Quantitative Researcher - Data Science for its New York, New York location.

Duties: Performing independent and collaborative research on statistical and probabilistic theories. Developing and maintaining effective and efficient computer programs that can be used for financial modeling. Actively collaborating with various teams within Squarepoint to update, optimize, and add new features to current models and workflows to accommodate the emerging demands and requests from the markets. Assisting teams senior quantitative researchers in building, validating, releasing, and maintaining highly complex automated predictive models.

Requirements: Must have a minimum of a Masters degree or foreign equivalent in any STEM (Science, Technology, Engineering, or Math) field of study and 2 years of experience as a Quantitative Researcher or related position for an investment/asset management organization focusing on probability, statistics, time series analysis, optimization, data science, and machine learning. Must have at least two (2) years of employment experience with each of the following required skills: Bayesian statistics; Optimization; Scientific computing/numerical analysis; Analyzing large datasets and fitting, evaluating, deploying statistical/ML models; Writing high-quality code in a collaborative setting

Salary / Rate Minimum/yr: $150,000

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

Quantitative Researcher - Data Science

Compensation

$150,000 – $185,000 USD

City: New York City

Country: United States

Squarepoint Capital logo
Hedge Funds

7 days ago

No clicks

at Squarepoint Capital

ExperiencedNo visa sponsorship

**Quantitative Researcher - Data Science** - **Research & Model Development** - Drive independent and collaborative research on stats/prob theories. Develop, optimize, and expand financial models. Collaborate cross-functionally to enhance workflows and meet market demands. - **Experience & Education** - 2+ years as a Quant. Researcher in investment/asset management, with a Master's degree in STEM. - **Core Skills** - Proficient in Bayesian statistics, optimization, large dataset analysis, and fitting/evaluating ML models. Expertise in scientific computing and high-quality collaborative coding. - **Tech Stack** - Familiarity with Python, R, or MATLAB is essential; experience with SQL, Git, and data visualization tools a plus. - **Location & Salary** - Based in New York, NY, with a salary range of $150,000 - $185,000.

Full Job Description

Squarepoint Services US LLC seeks a Quantitative Researcher - Data Science for its New York, New York location.

Duties: Performing independent and collaborative research on statistical and probabilistic theories. Developing and maintaining effective and efficient computer programs that can be used for financial modeling. Actively collaborating with various teams within Squarepoint to update, optimize, and add new features to current models and workflows to accommodate the emerging demands and requests from the markets. Assisting teams senior quantitative researchers in building, validating, releasing, and maintaining highly complex automated predictive models.

Requirements: Must have a minimum of a Masters degree or foreign equivalent in any STEM (Science, Technology, Engineering, or Math) field of study and 2 years of experience as a Quantitative Researcher or related position for an investment/asset management organization focusing on probability, statistics, time series analysis, optimization, data science, and machine learning. Must have at least two (2) years of employment experience with each of the following required skills: Bayesian statistics; Optimization; Scientific computing/numerical analysis; Analyzing large datasets and fitting, evaluating, deploying statistical/ML models; Writing high-quality code in a collaborative setting

Salary / Rate Minimum/yr: $150,000

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