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Fundamental Data Researcher Systematic Strategies; or Chicago

Job in New York, New York County, New York, 10261, USA
Listing for: HRB
Full Time position
Listed on 2026-01-12
Job specializations:
  • Finance & Banking
    Financial Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Fundamental Data Researcher for Systematic Strategies (New York or Chicago)
Location: New York

Our client is one of the world’s premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, credit, and foreign exchange. The core of their effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role:

A 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-oriented, and organized.
  • Strong communication skills.
  • Team player, driven and collaborative.
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