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Quantitative Analytics Intern Jobs (NOW HIRING)

WallStreetQuants

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders ... Strong analytical and problem-solving abilities. * Ability to work both independently and ...

WallStreetQuants

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders ... Strong analytical and problem-solving abilities. * Ability to work both independently and ...

Wood Plc

GIS Analyst Intern

Knoxville, TN

... Intern to join our Water Resources and Technology Services team. The position supports data ... Perform GIS database development, qualitative/quantitative analysis, and mapping as directed by ...

Wood Plc

GIS Analyst Intern

Nashville, TN

... Intern to join our Water Resources and Technology Services team. The position supports data ... Perform GIS database development, qualitative/quantitative analysis, and mapping as directed by ...

Wood Plc

GIS Analyst Intern

Birmingham, AL

... Intern to join our Water Resources and Technology Services team. The position supports data ... Perform GIS database development, qualitative/quantitative analysis, and mapping as directed by ...

World Wildlife Fund, Inc.

Position Summary The intern will work with the WWF-US Ocean Markets and Finance (OMF) team to ... quantitative data on companies operating in target geographies. Utilize online market data ...

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Quantitative Analytics Intern information

What are the key skills and qualifications needed to thrive as a Quantitative Analytics Intern, and why are they important?

To excel as a Quantitative Analytics Intern, you need strong analytical and mathematical skills, familiarity with statistical concepts, and coursework or a degree in quantitative fields such as mathematics, finance, or engineering. Proficiency with tools like Python, R, SQL, and data visualization software, as well as experience with statistical modeling or machine learning libraries, is highly valued. Effective communication, problem-solving abilities, and attention to detail set outstanding interns apart in collaborative and fast-paced environments. These skills are vital for accurately analyzing complex data, presenting insights, and supporting data-driven decision-making within organizations.

What does a Quantitative Analytics Intern do?

A Quantitative Analytics Intern typically supports teams by analyzing large data sets, building statistical models, and developing algorithms to solve business problems. Their work often involves using programming languages like Python or R, and tools such as Excel or SQL, to gather insights from data. Interns may assist in financial modeling, risk assessment, or market research, depending on the industry. This role provides hands-on experience in applying quantitative methods to real-world problems, preparing students for future careers in finance, technology, or data science.

What types of projects or tasks can a Quantitative Analytics Intern expect to work on during their internship?

As a Quantitative Analytics Intern, you can expect to work on a variety of data-driven projects, such as building statistical models, analyzing financial or operational datasets, and assisting in the development of forecasting tools. Interns often collaborate with experienced quantitative analysts and data scientists, contributing to real-world problem-solving for business or investment strategies. The role typically involves coding, data cleaning, and presenting findings to team members, offering a comprehensive introduction to quantitative methods in a professional setting.
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What states have the most Quantitative Analytics Intern jobs? States with the most job openings for Quantitative Analytics Intern jobs include:
Quantitative Analytics Intern jobs near you

Quantitative Developer Intern

WallStreetQuants

New York, NY • On-site

$21 - $27.50/hr

Full-time

Posted 10 days ago

Job description

An NYC based hedge fund is seeking a talented and motivated Quantitative Developer Intern to join their technology and trading team. This internship is ideal for students who enjoy building high-performance systems, solving complex technical problems, and applying software engineering to financial markets.
As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders, and engineers to design, build, and improve tools, platforms, and infrastructure that support trading strategies, research workflows, data analysis, and execution systems
Requirements
Responsibilities
  • Design, develop, and maintain software tools used by traders, researchers, and engineers.
  • Build systems for data processing, strategy research, backtesting, simulation, and performance analysis.
  • Assist in developing trading infrastructure, market data pipelines, and execution tools.
  • Optimize code for speed, reliability, scalability, and maintainability.
  • Work with large datasets and help improve data quality, storage, and retrieval.
  • Collaborate with quantitative researchers to translate models and research ideas into production-ready tools.
  • Debug, test, and document software systems used in live or simulated trading environments.
  • Contribute to automation, monitoring, and workflow improvements across the trading platform.
Qualifications
  • Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Engineering, Mathematics, Physics, Statistics, or a related technical field.
  • Strong programming skills in Python, C++, Java, C#, Rust, or another modern programming language.
  • Solid understanding of data structures, algorithms, software design, and debugging.
  • Familiarity with Linux, version control, and command-line development tools.
  • Strong analytical and problem-solving abilities.
  • Ability to work both independently and collaboratively in a fast-paced environment.
  • Interest in financial markets, trading systems, quantitative research, or data-driven decision-making.
Preferred Qualifications
  • Experience with high-performance computing, low-latency systems, distributed systems, or cloud infrastructure.
  • Familiarity with SQL, pandas, NumPy, or other data processing tools.
  • Experience building APIs, internal tools, dashboards, or research platforms.
  • Knowledge of networking, concurrency, memory management, or systems programming.
  • Exposure to financial markets, market data, order execution, backtesting, or risk systems.
  • Previous internship, research, open-source, or project experience involving production-quality software.

Benefits
What You'll Gain
  • Hands-on experience building software for quantitative trading and research.
  • Exposure to real-world trading infrastructure, market data systems, and analytical tools.
  • Mentorship from experienced quantitative developers, researchers, and traders.
  • The opportunity to work on projects with direct impact on trading and research workflows.
  • Experience developing reliable, scalable, and performance-sensitive systems in a collaborative technical environment.

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