Data Associate
The Signal Implementation group owns data and investment logic used in Bridgewater’s systematic strategies. This associate improves data integrity and the workflows that connect external sources to research and portfolio decisions.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Validate financial time series and security-reference data
- Investigate discrepancies with vendors and engineers
- Improve definitions and pipelines for investment datasets
- Prepare unstructured-data workflows and benchmark data for AI tools
What they ask for
Required
- Two to four years of relevant data work
- Financial-data vendor knowledge
- Time-series and security-master experience
- Data-model and pipeline familiarity
- Programming in at least one language
- Analytical systems thinking
- Education
- Accredited four-year undergraduate qualification.
- Experience
- 2–4 years of relevant data experience.
- Languages and tools
How to prepare
- Design quality checks for financial series and instrument identifiers
- Trace a vendor correction through a reproducible data pipeline
- Explain how dataset definitions change a systematic signal
What to study
- Quantitative Data Engineering
- Quantitative Research, Data and Backtesting
- Python for Quantitative Finance
The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.
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Read the full posting on Bridgewater Associates’s site before applying: requirements, location and pay can change after we check them.
View the posting on Bridgewater Associates’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Bridgewater Associates and doesn’t handle applications.