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Quantitative Intern Jobs in Harrison, NJ (NOW HIRING)

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals ...

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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 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.

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 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 most commonly searched types of Quantitative jobs in Harrison, NJ?

The most popular types of Quantitative jobs in Harrison, NJ are:

What job categories do people searching Quantitative Intern jobs in Harrison, NJ look for?

The top searched job categories for Quantitative Intern jobs in Harrison, NJ are:

What cities near Harrison, NJ are hiring for Quantitative Intern jobs?

Cities near Harrison, NJ with the most Quantitative Intern job openings:

Campus Quantitative Researcher, UG/MS (Intern)

Jump Trading

Manhattan, NY โ€ข On-site

$300K/yr

Other

Re-posted 22 days ago


Job description

Campus Quantitative Researcher, UG/MS (Intern)

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

The quant research internship is an intensive 10-week program focused on enhancing your quantitative and programming skills, as well as helping you experience what it's like to be a full-time quant researcher at Jump.

At Jump, our people contribute to trading teams in the following roles, or a blend of all three: quant researcher, quant trader, and quant developer. During our internship you will get training in all of these areas, with a focus on our research process for signal generation, machine learning, trading / market mechanics, C++, Python, and statistics.

You will work with fellow interns to develop your own predictive models and automated trading strategies for live trading. Then you will have the opportunity to work with our trading teams on meaningful projects with real impact while receiving daily 1:1 mentorship from experienced quant researchers, traders, and developers.

Other duties as assigned or needed.

We are seeking the sharpest analytical minds from top undergraduate and graduate programs.

Ideal candidates will have:

  • Outstanding skills in computer science, machine learning, statistics, and mathematics
  • Competitive spirit and uncommon drive to learn and improve
  • Programming experience
  • Appetite for risk-taking
  • Demonstrated interest in financial markets

Reliable and predictable availability required.

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.

The estimated base salary for this role is $300,000 per year.