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.

• 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