Fundamental Data Researcher

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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