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Point72
Design and own processes for normalizing fundamental data across public companies, track real-time corporate bond events, conduct independent research to detect data anomalies, and proactively search for alternative unstructured data sets.
Requires an undergraduate degree in Accounting, Economics, or Business, 2+ years of experience as an accountant or financial data analyst, with a focus on normalizing fundamental data and detecting anomalies. Programming skills in Python are a plus.
ROLE
A Cubist portfolio management team specializing in the systematic trading of US credit markets is looking for a highly talented Data Researcher.
RESPONSIBILITIES
REQUIREMENTS
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AI Est. Total Comp
$210,000
Location
Chicago, New York
Work Type
On-site
Seniority
mid
Experience
3-5 years
Category
Research Scientist
Visa Sponsorship
Unknown
Quality Score
4.2