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2027 Investment Associate Intern - Bridgewater Immersion | AI Innovation Hackathon 

New York City

Please note: in order to be considered for the Hackathon Immersion event on April 23-25, 2026, you must be interested in and apply to the Summer 2027 Investment Internship by March 20, 2026. Please submit your information below to proceed. If you have already applied to the Internship, we have your application on file and will reach out directly; you do not need to re-apply for the event specifically.

Bridgewater is one of the largest, most successful hedge funds of all-time, founded in 1975. We’ve built a unique understanding of global economies and financial markets used to generate high and uncorrelated returns (alpha) in systematic investment strategies.  

We are looking to hire great talent for our Investment Associate roles. Does this sound like you?  

Our Investment Associates (IAs) are the core team focused on developing and delivering alpha—the unique insights that enable us to beat markets and generate high and uncorrelated returns. Our approach is rooted in a fundamental understanding of the drivers of economies and markets and the systemization of those ideas. Our Investment Associates are:  

  • Relentlessly, obsessively—curious. To beat markets, you must have unique insight—but markets are always learning. We need individuals fiercely driven to understand how the world works, uncovering new logical relationships, testing and exploring new data sources, and consistently trying to expand their understanding and constantly improve
  • Deeply independent—bordering on iconoclastic—thinkers. For decades, Bridgewater has been studying markets and economies and reflecting our best understanding in our investment systems. We need independent-minded individuals who will come in and tell us why what we’re doing and thinking is wrong—and be right about it.
  • Conceptual and analytical. We need people who are both excited by the challenge of taking abstract concepts and translating them into quantifiable measures in a systematic investment process.
  • Able to draw insights from a wide variety of backgrounds. Our investment approach draws from multiple disciplines—most obviously economics and finance—but also computer science, mathematics, statistics, political science, history, natural science, and more. To that end, our Investment Associates also come from a wide variety of backgrounds.
  • Collaborative and tenacious. Our culture of idea meritocracy requires constant, intensive collaboration and exploration of ideas. Grit is essential—many of the problems we try to solve don’t have immediate or clear answers, and wrestling through to the truth alongside others takes enormous perseverance. 

What can I expect in an Investment Associate summer internship? 

Our goal is to provide interns with real and meaningful exposure to a fundamental and systematic investment process. As Investment Associates, we live and breathe markets and want our interns to have the chance to do the same. We hate the concept of “busy work” and try to make the internship as real of a window as possible. From the first week on, you’ll be expected to form your own macroeconomic and market views—including the opportunity to bet with your intern compensation and enter “positions” in actual markets Bridgewater trades, where Bridgewater will take the other side, using our in-house Investor Track Record tool. The internship is structured around the same components as Bridgewater’s research and investment process—you’ll start by looking out at the world and perceiving the most important dynamics for investors related to a specific economy and market. You’ll then synthesize your key views. Finally, you’ll get exposure to systemization—taking your point in time views and working with our investors to translate the core logic into data and mathematical expressions that you can then stress-test through time.  

Throughout the internship, you’ll also receive world class markets and macroeconomic training via an abridged version of our first year Investment Associate class. This will cover the foundational frameworks, introduction to analytical methods we use in our research and some light exposure to our technology stack. Our training ecosystem is designed so that anyone willing to put in the work can get the knowledge and skills they need to succeed in the internship and get a taste of what it’s like to be a real macro investor.  

Compensation

Total compensation for this position is $51,000 for the 8-week internship (less applicable deductions and withholdings), including a sign on bonus. In addition, our compensation package includes housing.  

This job description is not a contract and confers no contractual rights, privileges, or benefits on any applicant or potential applicant. Bridgewater has the right to change any and all terms of this job description, including, but not limited to, job responsibilities, qualifications and benefits. Nothing in this job description constitutes an offer or guarantee of employment. 

The Investment Associate Intern position requires the candidate is eligible to work in the United States for a minimum of 3 years from the candidate’s start date.  H-1B visa sponsorship and support for post-graduation optional practical training is available only to candidates with a degree in the science, technology, engineering and mathematics (STEM) fields.

Bridgewater Associates, LP is an Equal Opportunity Employer. 

Bridgewater Immersion | AI Innovation Hackathon 

 

Date: April 23 – April 25, 2026  

At Bridgewater – we study super-intelligence. 

For 50 years, we have been mapping the cause-and-effect relationships that govern financial markets – which move and interact in ways too complex for any one human, or historically, one machine to fully comprehend. Bridgewater approached this challenge by building an "expert system," in which computers systematically apply human-generated causal understanding to trade financial markets.  

Through time, Bridgewater’s knowledge compounded to build, what we believe, is the most valuable expert system in the world. However, new technology pushes us to transform our approach to understanding the world. Launched in 2023, Bridgewater’s AIA Labs is a dedicated group within Bridgewater that utilizes artificial intelligence and machine learning to generate returns in the market. As we speak, AIA Labs is building an artificial investor designed to perform rigorous, explainable, fundamental research at a scale no human-based process can ever achieve. 

This next leap requires a new kind of investor – an inventor defined by creativity, analytical rigor, and independent thinking – capable of interrogating our systems and bringing to bear the best of engineering and science.   

Participants will work alongside Deputy Chief Investment Officer Blake Cecil and a team of Bridgewater’s investors and systemizers to:  

  • Build and defend an original concept directly to Bridgewater leaders operating at the frontier of AI and investing.  
  • Collaborate with Bridgewater engineers and investors to build agentic workflows, custom tooling, and predictive systems.  
  • Ship a working prototype — go from concept to code on a live market puzzle and demo it in front of the group.  

Please note that the Hackathon Immersion invitation-only event is designed for students graduating in 2028 who are exploring a future in markets, trading, or macro research. Bridgewater will provide hotel accommodation for up to two nights (April 23-25, 2026) and cover all travel costs to join us. Please ensure that you have the necessary documentation to travel to the U.S. (i.e., passport or visa), and please feel free to reach out with any questions.  

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Hackathon Idea Submission *

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This is the most important part of your application. We want to see how you apply AI to real investment problems — not AI in the abstract. 

Your proposal (500 words or less) must be and grounded in a specific investment question or research bottleneck – two themes are outlined below. We are not looking for general-purpose wrappers or demos of existing LLM capabilities. We want to see you identify a concrete problem that a systematic investor faces and propose a buildable solution. 

You do not need to go into depth about how you will build the idea. However, please note any key technical and data requirements (including any necessary python packages) and any conceptual or technical issues that you anticipate could threaten the success of the project. 

1. AI For Alpha: How can AI extract value from information that traditional quantitative models miss? 

  • Central Bank Policy Deviation Tracker 
    • The Problem: Central banks establish long-run policies to meet specific mandates. In practice, however, a bank’s "reaction function" fluctuates based on the shifting biases and personal philosophies of its current voting members. 
    • The System: Build a platform that ingests the communications of central bank members to anticipate when policy will deviate from its long-run trajectory. 
    • The Insight: The system should trace these deviations to specific biases or idiosyncratic indicators—such as a member over-weighting headline inflation, asset bubbles, or specific labor conditions over core data. 
  • Predictive Analyst Revision Engine 
    • The Problem: Officially published corporate earnings forecasts often lag at critical inflection points, as analysts are frequently slow to adjust to new realities. 
    • The System: Build a tool that anticipates future updates to analyst forecasts using only unstructured data. To avoid circular logic, the system must exclude headline stock price shifts or the company's own headline earnings releases. 
    • The Insight: By analyzing the qualitative "color" within earnings calls, corporate communications, and timely analyst coverage, the system reasons through what the current consensus forecasts are missing. 

2. AI for Investment Research: How can AI create a step-function increase in the speed and depth of research to understand the world? 

  • Autonomous Signal Environment Mapper  
    • The Tool: Create a system that takes a trading signal as input and autonomously identifies the specific macro environments where it performs best and worst. 
    • The Output: Generate a structured report explaining the drivers of divergent performance. The tool should conclude by recommending specific, data-justified improvements to the signal's logic. 
  • Policy Catalyst Ripple-Effect Simulator  
    • The Tool: When a major policy change (such as a new tariff) is announced, investors must immediately understand its systemic impact. This tool reasons through how a given catalyst will flow through global economies and markets. 
    • The Synthesis: The final output provides a clear, reasoned projection of how that policy will likely manifest in today's specific market conditions. The system stress-tests its findings against the most illustrative historical cases to determine what has changed. 

Project Submission*

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We want evidence that you build things without being asked. Submit a video, paper, demo, or link to a project that shows your self-starting instinct and technical creativity.  

While your project doesn't have to be AI- or finance-specific, it must be yours. We value the originality of the problem, the resourcefulness of your solution, and, most importantly, evidence that you shipped a functional product, not just a conceptual framework.

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If you would like to share an example of previously written work, please feel free to submit any of the following – e.g., a paper for a class, a blog post or Substack article, or writing down for an extracurricular organization (school paper editorial, trade pitch for an investment club, etc.). There is no expectation you write something new or choose a sample related to macroeconomics/finance.

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Bridgewater is an Equal Opportunity Employer.  All employment decisions will be made without regard to race, color, creed, religion, ancestry, national origin, age, sex, marital status, civil union status, pregnancy, sexual orientation, transgender status, gender identity or expression, present or past mental disability, learning disability, physical disability, genetic information, military status, veteran status, or any other characteristic protected by law.

You are invited to VOLUNTARILY self-identify your gender and race/ethnicity.  This information will be kept as confidential as possible and will be reported in the aggregate to the federal government, as required by law.  This information will also assist Bridgewater in its diversity and inclusion efforts.  If you choose not to self-identify your gender and/or race/ethnicity, please select “Prefer not to say”.  There will not be any negative consequences for that selection.

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