The Fundamental Data Researcher will design processes for normalizing financial data, conduct independent research, and collaborate with teams to predict corporate events.
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
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