Fundamental Data Researcher
Hedge Fund Careers & Internships | Point72 Careers
Apply to this job Chicago, New York Until 8/21/2026 H-1B sponsor history First posted March 27, 2025 Last posted March 27, 2025
Job description
ROLE
A Cubist portfolio management team specializing in the systematic trading of US credit markets is looking for a highly talented Data Researcher.
RESPONSIBILITIES
- Design and own a process of normalizing and sanitizing fundamental data across a wide universe of public companies (based on 10Q, 10K, etc.)
- Design and own a process of tracking real-time data of corporate bond issuances/redemptions/etc. and other relevant corporate events
- Conduct independent research of the fundamental data, detecting anomalies and outliers. Prioritize and conduct deep dive case studies
- In collaboration with the research team, make predictions of capital structure changes and corporate event outcomes
- Proactively search for alternative, unstructured data sets with signal potential for corporate credit
REQUIREMENTS
- Undergraduate degree or higher in Accounting, Economics, Business, or other related discipline
- 2+ years of work experience as an accountant, financial data analyst, industry analyst, or other related role
- CPA or CFA is a plus. Coursework in Statistics and Econometrics and skills in empirical data analysis are a plus
- Some programming skills are a plus (e.g., Python) and a strong self-learner
- Tenacious, detail-orientated, and organized
- Strong communication skills
- Team player, driven and collaborative
About this role
Summary
Normalize fundamental data and track corporate bond events for analysis.
Job title
Fundamental Data Researcher
Experience level
2+ years
Industry
finance
Location requirements
Located in Chicago or New York; remote work not allowed
Salary
Not specified
Visa sponsorship
H-1B sponsor history
Management role
No
Skills & keywords
Required skills
undergraduate degreeaccountingeconomicsbusiness2+ yearscommunication
Preferred skills
CPACFAstatisticseconometricspython
Specializations
data researchfinancial analysiscorporate eventsdata normalizationempirical analysis
Locations
Structured locations inferred from the posting.
Chicago, IL, USA
On-site City
New York, NY, USA
On-site City
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