Improve systematic trading of US credit markets by normalizing and sanitizing fundamental data and tracking real-time corporate events
Requirements
- Coursework in Statistics and Econometrics
- Skills in empirical data analysis
- Some programming skills (e.g., Python)
- CPA or CFA is a plus
Responsibilities
- Design and own a process of normalizing and sanitizing fundamental data across a wide universe of public companies
- 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
- Make predictions of capital structure changes and corporate event outcomes
- Proactively search for alternative, unstructured data sets with signal potential for corporate credit
Other
- 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
- Tenacious, detail-orientated, and organized
- Strong communication skills
- Team player, driven and collaborative
