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Overnight Machine Learning Quant Jobs in New Jersey

Quant Developer

Jersey City, NJ · On-site

$80 - $90/hr

Apply machine learning techniques to time-series data including feature engineering, model training ... Translate quantitative and ML research into production-ready, resilient systems. * Integrate AI ...

Job Title: Quantitative Software Engineer About Us Edgestream Partners is a team of scientists ... Experience building resilient, parallelized data transformation architectures for machine learning ...

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Overnight Machine Learning Quant information

What is the difference between Overnight Machine Learning Quant vs Quantitative Researcher?

AspectOvernight Machine Learning QuantQuantitative Researcher
CredentialsAdvanced degrees in CS, Math, or Stats; programming skillsSimilar; advanced degrees often required
Work EnvironmentFinancial firms, hedge funds, trading desks; fast-paced, data-drivenFinancial institutions, research labs; analytical, research-focused
Industry UsageHigh-frequency trading, algorithmic strategiesMarket analysis, model development
Work HoursOvernight shifts aligned with trading hoursStandard business hours, flexible in some cases

While both roles involve quantitative analysis and programming, Overnight Machine Learning Quants focus on developing models for overnight trading strategies, often working overnight shifts. Quantitative Researchers typically conduct broader market research and model development during regular hours. The roles overlap in skills but differ mainly in work hours and specific application areas.

What are the most commonly searched types of Machine Learning Quant jobs in New Jersey?

The most popular types of Machine Learning Quant jobs in New Jersey are:

What cities in New Jersey are hiring for Overnight Machine Learning Quant jobs?

Cities in New Jersey with the most Overnight Machine Learning Quant job openings:

Quantitative Software Engineer

Princeton, NJ • On-site

Edgestream Partners, L.P.
Finance and Insurance • 11 - 50 employees

Full-time

Re-posted 15 days ago


Job description

Job Summary:
Edgestream Partners is a team of scientists, engineers, and investment professionals dedicated to developing quantitative models of financial markets. They are seeking a Quantitative Software Engineer to maintain and build machine learning tools and research infrastructure, supporting researchers in large-scale scientific experiments with market data.
Responsibilities:
• Maintain and build novel machine learning tools and research infrastructure.
• Support researchers in running large-scale scientific experiments with market data and alternative data sources.
Qualifications:
Required:
• A Bachelor's or Master's degree in Computer Science, Engineering, or a closely related field.
• Exceptional proficiency in programming (Python preferred) and software design.
• Strong analytical foundation, including familiarity with probability, statistics, and machine learning.
• Demonstrated experience utilizing quantitative software libraries such as numpy/pandas, scikit-learn, or equivalent packages.
• The ability to communicate effectively within a complex, highly technical, and collaborative team environment.
• A genuine intellectual curiosity and a passion for using technology to solve challenging problems.
Preferred:
• Deep familiarity with financial market data structures, including equities, futures, and FX datasets.
• Familiarity with numerical optimization techniques.
• Experience building resilient, parallelized data transformation architectures for machine learning and statistical analysis and reporting.
Company:
Edgestream Partners, L.P. ("Edgestream"​) is devoted to institutional investment management in an ever-changing world. Founded in 2003, the company is headquartered in Princeton, USA, with a team of 11-50 employees. The company is currently Early Stage.