Research Associate, Commodities Data Engineer

Job description

**About Bridgewater** Bridgewater Associates is a premier asset management firm, focused on delivering unique insight and partnership for the most sophisticated global institutional investors.  Our investment process is driven by a tireless pursuit to understand how the world’s markets and economies work — using cutting-edge technology to validate and execute on timeless and universal investment principles.  Founded in 1975, we are a community of independent thinkers who share a commitment for excellence. By fostering a culture of openness, transparency, and inclusion, we strive to unlock the most complex questions in investment strategy, management, and corporate culture.  Explore more information about Bridgewater on our website [here](https://www.bridgewater.com/). **Our Culture**  Our culture is anchored in excellence, meaning constant improvement, and it is deeply tied to our mission. Because markets are objective, competitive, and getting smarter everyday, we need to keep rapidly improving to have any chance of beating them. Truth is our most essential tool for engaging with the markets and constantly improving because once you know what's true about your problems and opportunities, you can determine how to get better. Valuing truth means being transparent about your decision-making and mistakes, giving and receiving feedback with humility, and fighting for the best answers over hierarchy, ego, or self-interest. Operating this way is hard – it's only possible because we build meaning in our work and relationships. This meaning comes from the audacity of the mission, and the joy of working alongside people who make you a better version of yourself. The culture, like Bridgewater itself, is always evolving. In 1997 our founder Ray Dalio wrote down his lessons, starting with a [Philosophy Statement](https://www.bridgewater.com/culture/bridgewaters-original-philosophy) which remains our foundation. This later evolved into a set of 300+ Principles. In 2022, when Ray transitioned the company, we re-underwrote several of those principles and evolved others, with a specific focus on [Meritocracy.](https://www.bridgewater.com/culture/bridgewaters-idea-meritocracy) Today the culture sits, alongside our people, as our most important edge. When we get it right, it’s the engine that powers everything else. **About the Team** 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. Within Asia Strategies, Asia Commodities is a dedicated investment team responsible for generating alpha and managing risk. The team's research and signals feed directly into the commodities strategy for Bridgewater's largest funds in the region. **About Your Role** We're seeking a Data Engineer 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 Engineering, 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