About the job
What you'll do
Design and implement statistical methods to detect and quantify issues in large-scale financial datasets. Manage automated pipelines for historical data ingestion and collaborate with researchers and traders to ensure data integrity.
What they're looking for
Requires a Master's degree in a quantitative discipline and 3-5 years of experience working with large-scale financial or scientific datasets. Strong proficiency in Python and statistical libraries for time-series analysis is essential.
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