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Financial Services, Investment Banking, Asset Management

2027 | Americas | New York City Area | The Core Quantitative Strats | Summer Analyst

New York, NYOnsiteInternshipPosted 2 months agoVisa sponsorship available

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Required skills

  • mathematics
  • logical thinking
  • quantitative models
  • innovation

Nice to have

  • cloud
  • AI
  • machine learning
  • risk management
  • financial control
  • reporting

Role summary

This is a Summer Analyst internship program for students pursuing a bachelor's or graduate degree. Participants will be fully immersed in the firm's day-to-day activities, including orientation, training, and working on real responsibilities. The Core Engineering Division builds and operates platforms, applications, data solutions, models, and analytics for various core divisions. Quantitative strategists at the cutting edge of the business solve real-world problems using advanced training in mathematics, programming, and logical thinking to construct quantitative models for global financial markets. Interns will receive training in quantitative finance.



About the program

Our Summer Analyst Program is a nine to ten week summer internship for students pursuing a bachelors / graduate degree. You will be fully immersed in our day-to-day activities.

As a participant, you will:

  • Attend orientation where you’ll learn about our culture, as well as the benefits and responsibilities of being a member of the firm
  • Receive training designed to help you succeed
  • Have the opportunity to work on real responsibilities alongside fellow interns and our people
Submitting Your Application
  • Each applicant has the opportunity to apply to up to 4 separate business / location combinations in any given recruiting year. Any additional application will be auto withdrawn. In order to apply to an additional opportunity, you must withdraw a current application that has not been turned down.
  • A single applicant should not create multiple email addresses to apply to additional opportunities 

About the division

The Core Engineering Division builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firm’s compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firm’s liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency.

Our quantitative strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. As a member of our team, you will use your advanced training in mathematics, programming and logical thinking to construct quantitative models that drive our success in global financial markets. Your talents for research, analysis and aptitude for innovation will define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment. Whatever your background, you will bring a fresh perspective and unique skillset to our business. In return, you will be trained by our experts across the firm to navigate the complexities of the financial markets and state-of-the-art methods in quantitative finance.

Sample Goldman Sachs interview questions

  • 1

    Design a distributed logging system

    system designmedium
  • 2

    Is this a valid palindrome?

    codingeasy
  • 3

    Given an integer array nums and an integer k, return true if nums has a subarray of at least two?

    codinghard
  • 4

    Find a triplet in an array with a given sum

    codingmedium
  • 5

    Implement k-means clustering

    codingmedium

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