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Data Associate

$120k - $150k

Bridgewater89

About the Investment Implementation Department The Investment Implementation department is a community of diverse investment professionals whose mission is to implement our investment strategies and client portfolios excellently. Our Department is responsible for ensuring the excellent implementation of our systematic investment approach, from raw data to executed trades, with processes and logic that reflect the full richness of our investment insight, executed with a near‑zero error rate, and engineered and orchestrated in a way that facilitates oversight and compounding. This is an investment department, owning the investment outcomes, and the mandate includes both the 'run' responsibility and the 'transform' responsibility, meaning daily operations as well as over time renovation of our systems. About the Team As part of the research team, the Signal Implementation group is responsible for owning and deeply understanding both the data that flows from the outside world and the logic applied to it within Bridgewater’s systematic trading systems. About Your Role As a Data Associate, you will help us achieve our mission by owning and deeply understanding the data and logic used to build Bridgewater’s systematic trading systems. This means understanding the content itself, the process by which the content is updated, validated, and evolved and how this content fits into Bridgewater’s understanding of the world. In this role, you will be expected to understand both the current data ecosystem and the needs of investment professionals, with a long‑term vision for how our investment data ecosystem should scale and adapt over time. You will take ownership of key data workflows, ensuring high standards for investment data quality and consistency across the firm. This is a fast paced, critical function that directly impacts portfolio construction and research alpha. We are looking for someone who combines a rigorous analytical mindset with a passion for data, content integrity, and system improvement. The ideal candidate has several years of experience working with data systems. Responsibilities Understanding sets of investment data concepts - how outside data is used at Bridgewater from both a conceptual investment and technical construction perspective (e.g., pricing, macroeconomic, fundamentals, alternative data). Validating the accuracy of those data concepts - providing domain expertise in content understanding, especially around market, security master, and time‑series data. Accepting and engaging with new data as our systematic investment engine incorporates it - refining and maintaining high standards for data engineering and investment data integrity. Continuously evolving these data concepts over time by improving the logic or technical definitions, contributing directly to improving Bridgewater’s investment logic. Working with Bridgewater’s partners in the content supply chain (analytics, engineering, and technology) to address data quality, architectural or logic issues. Collaborating with vendors, engineers, and data consumers to streamline workflows and improve data time‑to‑insight. Operate workflows that enrich and augment unstructured data assets. Execute and evaluate data creation for benchmarking of LLM assets and AI tools. Ideal Candidate Profile Are analytical, highly logical, and structured in your thinking. Are deeply interested in understanding financial markets. Are passionate about data. Think in terms of systems and naturally look for ways to solve problems through the evolution of those systems. Hold a high degree of personal responsibility and ownership in everything you do. Enjoy learning about new data tools and programming languages. Position Requirements 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. Minimum Qualifications 4‑year degree from an accredited undergraduate institution. 2-4 years of relevant experience in data. Strong working knowledge of financial data (e.g., Bloomberg, Refinitiv, alternative data vendors). Experience working with time‑series data and security master data. Familiarity with data modeling, data pipelines, and cloud‑based data solutions (e.g., Snowflake, AWS). Proficient in at least one programming language. Strong analytical skills, a systems‑oriented mindset, and ability to work independently in a fast‑paced, high‑stakes environment. Physical Requirements The anticipated onsite requirement for this role is three days per week at our Westport, CT campus and one day per week at our NYC campus. Compensation Band The expected annual base salary for this position is $120,000–$150,000. The total compensation package includes variable compensation in the form of a discretionary target bonus. 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. Bridgewater offers a competitive suite of benefits. Equal‑Opportunity Employer Bridgewater Associates, LP is an Equal Opportunity Employer. Legal Disclaimers 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. 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. Please note that we do not provide immigration sponsorship for this position. #J-18808-Ljbffr

Vacancy posted 1 day ago
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