Management Coordinator

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

$100K-$125K From the posting source checked Jun 20, 2026

401(k) match

Not verified

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Market context

U.S. role benchmark (BLS OEWS)

$61,842 U.S. median for this role

Projected growth (BLS Employment Projections)

+1.9% - Slower

82% above the BLS role benchmark for operations aggregate.

Matched to SOC 11-1021 - Operations aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Operations From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Management Coordinator New York City For 50 years, Bridgewater has pursued one idea: the world can be understood. Markets and economies follow cause-and-effect relationships-and by understanding them, we think we can beat the markets and generate true uncorrelated returns ("alpha") at significant scale. Our clients include some of the world's most sophisticated institutional investors who turn to us to use our unique insights to solve their biggest problems. Generating alpha at scale is an exceptionally difficult task. It requires predicting the future and doing so better than the millions of other extremely smart, highly motivated people who are trying to do the same. Our investment strategies seek to understand and navigate macroeconomic shifts that drive the world's most liquid markets (bonds, currencies, equities, commodities, credit). These shifts have a very limited sample size (some of them haven't yet happened in our lifetimes). Our approach is to start by digging deep to develop a fundamental cause-effect understanding of the economic and financial relationships that drive markets. We represent this understanding in a model of the world that we call our System -code and algorithms that generate views automatically, by ingesting vast amounts of significantly cleaned data and reflecting the relationships we've learned over decades of intense study and experience. Being systematic allows us to stress-test the quality of our ideas through time, and also helps ensure that at any given point, our positions reflect everything we've ever learned, so that our people can spend all their time focused on compounding on

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