Research Associate, Commodities Data Analyst

About the Asia Strategies Department 

This role sits in our Asia Strategies department, whose goal is to continue our growth down the journey of being the premier investment management firm in Asia. This entails developing great investment strategies reflecting our expertise, generating alpha in the markets, researching and publishing our understanding of the macroeconomic environment, and designing solutions to help our clients invest across the region.    

About Your Role 

We're seeking a Data Analyst to join the Commodities team within Asia Strategies, embedded directly on the desk with direct impact on trading strategies and exposure to the CIO and Senior PMs responsible for key Asia strategies. You'll work in a tight-knit, fast-paced environment where the pipelines and data you own feed directly into live investment decisions.  

This position emphasizes (1) direct ownership of vendor data relationships and quality, (2) research-adjacent problem solving – understanding why the team needs the data concepts before you analyze it, (3) data operations spanning the full research cycle, from raw vendor feed to modeled data to live dashboards and trading indicators, and (4) sitting inside the investment process and developing expertise in Asia Commodities as an asset class.   

Given the size of the team, you'll drive your own agenda rather than wait to be told what's next – spotting a gap before it's flagged, pushing through a fix rather than escalating and waiting. We're looking for someone entrepreneurial and resourceful, who wants to build serious infrastructure while staying close to a live book and the decisions it drives.  

You will drive the following responsibilities:  

Investment Data Analysis, Research/Production Enablement, and Platform Collaboration:  

• Source and maintain vendor data feeds, working directly with vendors to resolve data quality issues and communicate new features  

• Transform granular, contract-level market data into derived analytical constructs – curves, spreads, aggregated indicators – that feed directly into research and portfolio decisions  

• Build the data infrastructure that feeds fundamental supply/demand balance models – from raw inventory, production, and shipment data to balance-ready inputs  

• Build and maintain dashboards and monitoring tools the team relies on daily – tracking both data health and market conditions, and flagging breaks or shifts before they affect the book  

• Partner closely with investors and developers to ensure data is research-ready, well-documented, and reproducible across simulation and live environments  

• Design, build, and maintain robust, scalable data pipelines supporting systematic commodities strategies.  

• Interrogate datasets to understand distributions, coverage gaps, stability over time, and structural breaks  

• Design and maintain our data ontology and schemas  

• Work across a variety of datasets ranging from traditional datasets to large alternative datasets  

• Work with shared data engineering and platform teams to evolve the broader data ecosystem while maintain team-level ownership and agility  

• Contribute to improvements in tooling, standards, and best practices that increase research velocity and system reliability  

Research & Data Science:  

• Partner with our investors to research questions on commodity markets and commodity-producing companies, with a specific focus on Asia and Chinese commodities markets, and turn that understanding into systematic trading strategies  

• Contribute fundamental context to data decisions – flagging when a data quality issue or vendor discrepancy has a market explanation worth surfacing to the research team  
• Incorporate AI/ML technologies into the team's research and data infrastructure  

The anticipated onsite requirement for this role is four days per week at our New York City campus. 

Minimum Qualifications:

• 1-4 years of experience in a data analyst, data science, or data engineering role at a hedge fund, asset manager, or financial institution, working with market or fundamental data in an investment context   

• Experience with commodities markets and fundamentals strongly preferred; candidates with strong data backgrounds in other asset classes (equities, rates, FX, etc.) within a buy-side or investment research setting will also be considered  

• Experience with systematic/quantitative investment strategies preferred  

• Strong programming skills in Python and SQL, with experience writing production-quality, maintainable code  

• Experience working with modern data platforms (e.g. Snowflake or similar cloud data warehouses)  

• Willingness to expand toolkit to adapt to our scala based production stack  

• Strong desire to work with new development assistant technologies to drive productivity  

• Experience designing, documenting, and scaling commodities data and trading systems  

• Solid foundation in statistics, particularly time-series and cross-sectional analysis  

• Mandarin proficiency preferred  

In addition, to succeed within our unique culture and work environment, individuals must demonstrate humility, innate curiosity, and openness to new ideas and approaches. Candidates must be driven, confident, and goal-oriented. All Bridgewater employees are expected to be honest, exceptionally direct, and eager to provide and receive objective feedback. Our employees constantly strive for self-improvement through feedback and self-reflection and are committed to the pursuit of excellence.  

About Bridgewater 

Bridgewater Associates is a global macro investment firm, founded in 1975, whose mission is to develop a fundamental, cause-and-effect understanding of how markets and economies work—and translate that understanding into insights, returns, and solutions that help the world’s leading institutional investors solve their most important investment challenges.  

Over five decades, we have codified our fundamental understanding into a systematic investment process—integrating human judgment with machine intelligence with the goal of applying our thinking consistently, testing it against reality, and continuously improving decision-making over time. We believe this has created a unique platform for applying AI within our process, positioning us at the frontier of integrating technology with investment decision-making.  

In financial markets—where reality is constantly evolving and outcomes are uncertain—sustained excellence requires continuous learning and improvement. Our culture—anchored in radical truth and transparency—helps us learn faster.  

Find more information about Bridgewater on our website. 

Our Culture

Bridgewater’s culture is anchored in the pursuit of excellence—tied directly to our mission. In financial markets, where the base case is failure and reality is constantly evolving, winning requires continuous learning and improvement. Truth is our most essential tool for improvement, and transparency helps us get closer to truth because it places many eyes on our decisions, problems, and mistakes. By understanding reality clearly, we can identify the gap between where we are and where we want to be—and use that knowledge to learn and get better. Our system that supports this way of being is an idea meritocracy, where we commit to finding and rewarding the best ideas regardless of hierarchy.  

Operating in these ways is hard. Finding truth and learning through it is inherently a high-friction cycle. It’s possible because we share a few core values: a commitment to honesty, high ownership, deeply meaningful work and relationships, and building Bridgewater as a big tent where vast differences are welcomed. These values create the common denominator that binds us together in good times and bad.  

Benefits

One of our core priorities at Bridgewater is to enable our employees to build a great life and career, and we believe our benefits are an important extension of that philosophy. As such, currently Bridgewater offers a competitive suite of benefits, including health insurance, retirement benefits, paid leave, and other fringe benefits. Find more information about Bridgewater’s benefits on our website.  

Bridgewater reserves the right to change its current benefits program at any time, in a manner that is consistent with applicable federal and state regulations.   

Sponsorship 

Please note that we do provide immigration sponsorship for this position.   

Compensation 

The wage range for this role is $150,000 $200,000 inclusive of base salary and discretionary target bonus. The expected base salary for this role is between 80% - 90% of this wage range.   

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. 

Bridgewater Associates, LP is an Equal Opportunity Employer