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Quantitative Intern Jobs in Edison, NJ (NOW HIRING)

Point72

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

We are looking for exceptional students to join us as quantitative developer interns for Summer 2025. Our interns will work closely with our team, receive comprehensive, in-depth training, and help ...

Point72

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

We are looking for exceptional students to join us as quantitative developer interns for Summer 2025. Our interns will work closely with our team, receive comprehensive, in-depth training, and help ...

Rho Technologies

Quantitative Analyst Intern

New York, NY · On-site

$20 - $35/hr

Communicates quantitative work clearly to technical and non-technical stakeholders Strong fit if: * Comfortable with ambiguity. Problems arrive underspecified. * Take ownership. You run your ...

New

Point72

Quantitative Researcher Intern

New York, NY

$120K - $180K/yr

We are looking for exceptional students to join us as quantitative researcher interns for Fall 2026, Spring 2027 and Summer 2027. Our interns will work closely with our team, receive comprehensive ...

Point72

Quantitative Researcher Intern

New York, NY · On-site

$120K - $180K/yr

We are looking for exceptional students to join us as quantitative researcher interns for Fall 2026, Spring 2027 and Summer 2027. Our interns will work closely with our team, receive comprehensive ...

GSA

Quantitative Researcher - Intern

New York, NY · On-site

We are interested in hearing from students at the penultimate year of their graduate or postgraduate studies who are looking to secure an internship in quantitative research and possess the relevant ...

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Showing results 21-40

All JobsQuantitative Intern JobsQuantitative Intern Jobs in Edison, NJ

Quantitative Intern information

What is a quantitative intern?

Quantitative Interns are students or recent graduates who work in finance, technology, or research roles to apply mathematical, statistical, and programming skills to solve real-world problems. They often assist with data analysis, model development, and algorithm testing under the guidance of experienced quantitative analysts or researchers. These internships provide hands-on experience in quantitative fields such as investment banking, hedge funds, or tech companies, helping interns develop technical skills and industry knowledge. Through this role, interns gain exposure to complex financial instruments, coding languages like Python or R, and quantitative research methodologies.

What is the difference between Quantitative Intern vs Quantitative Analyst?

AspectQuantitative InternQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate with a degree in finance, mathematics, or related fieldBachelor's or master's degree in finance, mathematics, or related field; often requires some experience
Work EnvironmentInternship setting, often part-time or summer program within financial firms or investment banksFull-time role within financial institutions, hedge funds, or asset management firms
Employer & Industry UsageUsed by firms to train and evaluate potential future full-time analystsCore role responsible for developing models, analyzing data, and supporting trading decisions

In summary, a Quantitative Intern is an entry-level position aimed at gaining experience, while a Quantitative Analyst is a full-time professional responsible for quantitative modeling and analysis within the finance industry.

What are the key skills and qualifications needed to thrive as a quantitative intern, and why are they important?

To thrive as a Quantitative Intern, you need strong mathematical, statistical, and analytical skills, typically supported by coursework in quantitative fields such as mathematics, statistics, computer science, or engineering. Familiarity with programming languages like Python, R, or MATLAB, and experience with data analysis tools and financial modeling software are commonly required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills in this role. These skills and qualities are crucial for accurately analyzing complex data sets, contributing to research, and delivering actionable insights in a fast-paced quantitative environment.

What types of projects can a quantitative intern expect to work on during their internship?

As a Quantitative Intern, you can expect to work on projects involving data analysis, model development, and backtesting trading strategies. You may collaborate with senior quants and traders to analyze large datasets, validate models, and communicate your findings to the team. These projects often require strong programming skills and a proactive approach to problem-solving. The fast-paced environment offers opportunities to gain hands-on experience and exposure to real-world financial challenges.
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What are popular job titles related to Quantitative Intern jobs in Edison, NJ? For Quantitative Intern jobs in Edison, NJ, the most frequently searched job titles are:
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Quantitative Intern jobs near you

Quantitative Developer Intern

Point72

New York, NY • On-site

$21 - $27.50/hr

Internship

Re-posted 6 days ago

Job description


A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art 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 for Summer 2025. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have real impact.
You will gain exposure to a variety of activities, which may include:
  • Enhancing quantitative research platforms by benchmarking and integrating in-house and cloud technologies
  • Optimizing data ETL pipelines, persistent/in-memory caches, and SQL databases
  • Improving research and trading tools and infrastructure
Desirable Candidates
  • Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative discipline
  • Strong programming experience in Python with production-level coding quality
  • Experience with Unix environment and shell scripting
  • Experience with cloud computing, ideally AWS and Databricks
  • Experience with numerical Python libraries (e.g. Numpy, Pandas, PyTorch, etc.)
  • Knowledge of version control (Git) and software CI/CD tools and lifecycle
  • Knowledge of profiling (e.g. cProfile, SnakeViz, memory-profiler, etc.) and code optimization is a plus
  • Knowledge of statistics and machine learning is a plus
  • Willing to take ownership of his/her work, working both independently and within a small team
  • Prior experience in the financial services industry is not required
  • Commitment to the highest ethical standards

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth.

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