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Internship Python Quant Jobs in New York (NOW HIRING)

AQR

2027 Research Summer Analyst

Greenwich, CT

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Python preferred * Strong problem solving and quantitative skills * High degree of intellectual ...

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Internship Python Quant information

What are the key skills and qualifications needed to thrive as an Internship Python Quant, and why are they important?

To thrive as an Internship Python Quant, you need strong quantitative and analytical skills, foundational knowledge in mathematics or finance, and proficiency in Python programming. Familiarity with data analysis libraries (such as NumPy, pandas, and matplotlib), version control systems like Git, and experience with financial modeling tools are typically required. Attention to detail, problem-solving ability, and effective communication are standout soft skills for collaborating with teams and interpreting complex data. These skills are crucial for developing accurate quantitative models and delivering actionable insights in a fast-paced financial environment.

What types of projects can an Internship Python Quant expect to work on, and how do these contribute to professional development?

As an Internship Python Quant, you can expect to work on data analysis, financial modeling, and algorithm development projects that support trading strategies or risk management. These projects often involve cleaning and analyzing large datasets, implementing statistical models, and automating reporting processes using Python. Collaborating closely with senior quants and traders, you'll gain practical exposure to real-world finance problems and enhance your coding, analytical, and communication skills—an excellent foundation for a future full-time quant role.

What is an Internship Python Quant?

An Internship Python Quant is a student or recent graduate position that focuses on quantitative analysis in fields like finance, trading, or data science, using Python as the primary programming language. Interns in this role typically work on tasks such as data analysis, model development, and algorithmic trading strategies, often supporting senior quantitative analysts or researchers. The position helps interns gain hands-on experience with financial data, statistical modeling, and the application of Python programming to solve real-world quantitative problems.

What is the difference between Internship Python Quant vs Quantitative Analyst?

AspectInternship Python QuantQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or computer scienceBachelor's or master's in finance, mathematics, or related fields; often requires experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time, professional environment, responsible for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Common Search & ComparisonYesYes

The Internship Python Quant is an entry-level position focused on learning and supporting quantitative trading strategies using Python. In contrast, a Quantitative Analyst is a full-time professional responsible for developing and implementing complex models for trading and risk management. The internship provides foundational experience, while the analyst role involves greater responsibility and expertise.

What cities in New York are hiring for Internship Python Quant jobs? Cities in New York with the most Internship Python Quant job openings:
Internship Python Quant jobs near you
Equity Index Quantitative Researcher

Equity Index Quantitative Researcher

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Equity Index Quantitative Researcher-
Location
New York
Business Area
Product
Ref #
10051599
Description & Requirements
What's the role?
Bloomberg's Index Research group is responsible for the research and development of quantitative indices used for benchmarking and investment strategies. As part of a broader quantitative research organization, the team also contributes to portfolio analytics and sustainability research that serve many of the world's largest and most sophisticated investors. We operate in a highly collaborative environment with a strong focus on research rigor, practical implementation, and real-world impact across index and investment applications.
We are seeking a Quantitative Index Researcher (mid to senior level) to join our team. This role is focused on equity index research, with an emphasis on factor-based strategies, portfolio construction, and methodology design.
The ideal candidate will hold an advanced degree in a quantitative field and have a background in equity quant research. The ideal candidate will combine strong quantitative skills with hands-on experience in a research-driven coding environment and a solid understanding of equity factor investing.
We'll trust you to:
  • Design, develop, and enhance quantitative equity index methodologies, including factor and multi-factor strategies
  • Conduct empirical research on equity markets, including factor behavior, portfolio construction, and risk characteristics
  • Work with large datasets (market, fundamental, and alternative data) to evaluate and improve index performance and robustness
  • Collaborate with product and engineering teams to transition research models into scalable production frameworks
  • Monitor and refine existing indices, identifying opportunities for improvement and innovation
  • Communicate research insights through internal presentations, client discussions, and external publications (e.g., white papers)

You'll need to have:
  • Advanced degree in Finance, Economics, Mathematics, Physics, or a related quantitative discipline.
  • 8+ years of experience in a quant research role focused on equities.
  • Strong understanding of equity factors, risk premia, and systematic investment strategies.
  • Demonstrated experience working in a quantitative research and coding environment (Proficiency in Python).

We'd love to see:
  • Self-drive, attention to detail, and able to operate effectively in a collaborate team environment.
  • Excellent written and verbal communication skills, with the ability to present complex ideas clearly to both technical and non-technical audiences.

Salary Range = 155,000 - 285,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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