Fundamental Data Researcher

<p><strong>ROLE</strong></p> <p>A Cubist portfolio management team specializing in the systematic trading of US credit markets is looking for a highly talented Data Researcher.&nbsp;</p> <p><strong>RESPONSIBILITIES</strong></p> <p><strong></strong></p> <ul> <li>Design and own a process of normalizing and sanitizing fundamental data across a wide universe of public companies (based on 10Q, 10K, etc.)</li> <li>Design and own a process of tracking real-time data of corporate bond issuances/redemptions/etc. and other relevant corporate events</li> <li>Conduct independent research of the fundamental data, detecting anomalies and outliers. Prioritize and conduct deep dive case studies</li> <li>In collaboration with the research team, make predictions of capital structure changes and corporate event outcomes</li> <li>Proactively search for alternative, unstructured data sets with signal potential for corporate credit</li> </ul> <p><strong>REQUIREMENTS</strong></p> <p><strong></strong></p> <ul> <li>Undergraduate degree or higher in Accounting, Economics, Business, or other related discipline</li> <li>2+ years of work experience as an accountant, financial data analyst, industry analyst, or other related role&nbsp;</li> <li>CPA or CFA is a plus. Coursework in Statistics and Econometrics and skills in empirical data analysis are a plus</li> <li>Some programming skills are a plus (e.g., Python) and a strong self-learner</li> <li>Tenacious, detail-orientated, and organized</li> <li>Strong communication skills</li> <li>Team player, driven and collaborative</li> </ul> <p>&nbsp;</p>