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Internship Optimization Engineer Jobs in New York

Optimum

Intern - Data Engineer

Long Island City, NY · On-site

$35/hr

Introducing Optimum Media. Driven by the power of Optimum, Optimum Media is our innovative ... internships, preferred * Experience scripting and deploying ETL jobs, cron jobs and code changes ...

Optimum

Intern - Data Engineer

Long Island City, NY · On-site

$35/hr

Introducing Optimum Media. Driven by the power of Optimum, Optimum Media is our innovative ... internships, preferred * Experience scripting and deploying ETL jobs, cron jobs and code changes ...

Pangram

Machine Learning Engineer (Junior)

New York, NY · On-site

$135K - $150K/yr

Profiling and optimizing training and inference code * Deploy efficient inference pipelines for ... Practical experience with deep learning: internships, undergrad or masters' level research projects ...

New

Doist

Machine Learning Engineer (Junior)

Manhattan, NY · On-site

$90 - $130/hr

Profiling and optimizing training and inference code * Deploy efficient inference pipelines for ... Practical experience with deep learning: internships, undergrad or masters' level research projects ...

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Internship Optimization Engineer information

What is the difference between Internship Optimization Engineer vs Data Analyst Intern?

AspectInternship Optimization EngineerData Analyst Intern
Required CredentialsRelevant degree in engineering, data science, or related fields; some internships may require basic programming skillsDegree in statistics, mathematics, computer science, or related fields; basic data analysis skills needed
Work EnvironmentTech companies, e-commerce, or logistics firms focusing on process and system optimizationBusiness, finance, or tech companies analyzing data to support decision-making
Employer & Industry UsageUsed in industries emphasizing operational efficiency and system improvementsCommon in industries relying on data insights for strategic decisions

While both roles involve working with data and technical skills, the Internship Optimization Engineer focuses on improving operational processes and system performance, often requiring engineering or technical backgrounds. In contrast, Data Analyst Interns primarily analyze data sets to generate insights. Both roles are valuable entry points in tech and data-driven industries, but they serve different core functions.

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Internship Optimization Engineer jobs near you

Quantitative Researcher - Internship

WallStreetQuants

New York, NY • On-site

Full-time

Re-posted 8 days ago

Job description

About the Internship
A New York based Hedge Fund is seeking an Undergraduate Quantitative Research Intern to join their quantitative research team. This internship is designed for undergraduate students interested in applying mathematics, statistics, programming, and data analysis to financial markets.
You will work alongside experienced researchers and traders to explore market data, test research ideas, and help evaluate systematic trading strategies. This is a hands-on opportunity to gain exposure to quantitative finance in a collaborative and intellectually challenging environment.
Requirements
Responsibilities
  • Analyze financial and market datasets using statistical methods.
  • Assist with research on systematic trading strategies.
  • Clean, organize, and validate large datasets.
  • Build simple models and backtests under researcher supervision.
  • Write Python code for data analysis, visualization, and research workflows.
  • Summarize findings clearly through charts, reports, or presentations.
  • Collaborate with researchers, traders, and engineers on research projects.
  • Learn how quantitative research ideas are developed, tested, and evaluated.
Qualifications
  • Currently pursuing a bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Expected graduation date of 2028 or 2029.
  • Strong academic performance in quantitative coursework.
  • Programming experience in Python.
  • Familiarity with probability, statistics, linear algebra, or optimization.
  • Interest in financial markets, trading, investing, or data-driven decision-making.
  • Strong problem-solving skills and attention to detail.
  • Ability to communicate technical ideas clearly.
Preferred Qualifications
  • Experience with pandas, NumPy, matplotlib, scikit-learn, or similar tools.
  • Coursework or projects involving data analysis, machine learning, econometrics, or time series.
  • Familiarity with SQL or databases.
  • Participation in math, programming, trading, data science, or research competitions.
  • Prior internship, academic research, or independent project involving quantitative analysis.

Benefits
What You'll Gain
  • Exposure to real-world quantitative research and systematic trading.
  • Mentorship from experienced researchers and traders.
  • Practical experience working with financial data.
  • Opportunity to contribute to meaningful research projects.
  • A deeper understanding of careers in quantitative finance.

Apply