Quantitative Researcher - Data Science

Squarepoint Capital • New York, NY

3d • $150,000 - $185,000 • Onsite

About The Position

Squarepoint Services US LLC seeks a Quantitative Researcher - Data Science for its New York, New York location. This role involves performing independent and collaborative research on statistical and probabilistic theories, developing and maintaining efficient computer programs for financial modeling, and collaborating with various teams to update and optimize current models and workflows. The position also includes assisting senior quantitative researchers in building, validating, releasing, and maintaining complex automated predictive models.

Requirements

• Master’s degree or foreign equivalent in any STEM (Science, Technology, Engineering, or Math) field of study.
• 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.
• At least two (2) years of employment experience with Bayesian statistics.
• At least two (2) years of employment experience with Optimization.
• At least two (2) years of employment experience with Scientific computing/numerical analysis.
• At least two (2) years of employment experience with Analyzing large datasets and fitting, evaluating, deploying statistical/ML models.
• At least two (2) years of employment experience with Writing high-quality code in a collaborative setting.

Responsibilities

• 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 team’s senior quantitative researchers in building, validating, releasing, and maintaining highly complex automated predictive models.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior