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Internship Machine Learning Quant Jobs in New York

They offer an array of quantitative investment fund products to their clients. They are seeking ... Machine Learning Researchers help solve the unsolved. They use their knowledge in mathematics ...

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

... machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power. We are looking for exceptional students to join us as quantitative developer interns ...

Quantitative Developer Intern

New York, NY ยท On-site

$21 - $27.50/hr

... machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power. We are looking for exceptional students to join us as quantitative developer interns ...

Machine Learning Research Lead Chicago, United States; New York, United States IMC Trading is ... Collaborate with quantitative traders, researchers and developers to translate market insights into ...

Machine Learning Scientist

New York, NY ยท On-site

$121K - $131K/yr

PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline * 2+ ...

Experience with Machine Learning techniques is a plus * PhD or exceptional Masters / Bachelors ... quantitative subject * Expertise in Python and Linux environments * Comfortable proficiency in C ...

Senior Machine Learning Engineer (Remote)

New York, NY ยท On-site +1

$114K - $157K/yr

A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field * 5 + years experience in Python * 3+ years experience in machine learning research, with a ...

Senior Machine Learning Engineer

Manhattan, NY ยท On-site

$150K - $180K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 2 years of experience in industry with a strong focus on ML solutions development and ...

Senior Machine Learning Engineer

Manhattan, NY ยท On-site +1

$150K - $180K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 2 years of experience in industry with a strong focus on ML solutions development and ...

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Internship Machine Learning Quant information

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are the most commonly searched types of Machine Learning Quant jobs in New York? The most popular types of Machine Learning Quant jobs in New York are:
What job categories do people searching Internship Machine Learning Quant jobs in New York look for? The top searched job categories for Internship Machine Learning Quant jobs in New York are:
What cities in New York are hiring for Internship Machine Learning Quant jobs? Cities in New York with the most Internship Machine Learning Quant job openings:

Machine Learning Researcher

Quanta Search

Manhattan, NY โ€ข On-site

Full-time

Posted 26 days ago


Job description

Our client is a process driven investment management group consisting of a team of researchers, traders and technologists who harness and apply the power of technology and automation to identify, model and trade global financial markets. They offer an array of quantitative investment fund products to their clients.
They are seeking candidates with exceptional academic credentials to join our team and participate in and support of the firm's efforts in the research, trading and production processes.
They look for candidates who are eager to make an impact by doing real, hands-on research and development. Candidates must possess exceptional knowledge of mathematical and statistical methods as well as a proven ability to solve complex problems. A desire to work with large data sets and apply creative thinking is required. Successful candidates will also have deep interest in learning about trading and the financial markets.
What you can expect
They offer a supportive environment that fosters independent thought in a collegial, results oriented, work setting. Researchers and developers here are passionate about their work, model building, data and technology.
You are curious and intellectually driven to succeed. You'll be provided with the tools, resources and training required to satisfy that curiosity and passion, leading them to new insights and discoveries. The process driven approach enables these insights to be thoroughly tested in a systematic fashion and ultimately, if confirmed, integrated into our portfolio.
Role:
Machine Learning Researchers help solve the unsolved. They use their knowledge in mathematics, optimization, and computer science to create new algorithms to solve previously unsolved problems.
What you will do:
You will work to improve signal generation by upgrading the foundational algorithms. You will work closely with Data Scientists / Analysts and Machine Learning Engineers to optimally solve new problems.
Minimum Requirements:
  • Strong understanding of data structures and algorithms.
  • Strong understanding statistical learning theory.
  • Strong understanding of convex or non-convex optimization.
  • Experience developing new machine learning algorithms.
  • Ability to prove generalization guarantees for some commonly used algorithms.

Plus, but not required:
  • Production grade software engineering.
  • Domain expertise.
  • Published in top machine learning journals or conferences: JMLR, COLT, etc.

Thank you for illuminating hiring with Quanta Search!
www.quantasearch.com