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Fundamental Data Researcher needed for systematic US credit trading.

Mid-level role based in Chicago.

ROLE

A Cubist portfolio management team specializing in the systematic trading of US credit markets is looking for a highly talented Data Researcher.

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

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