Fundamental Data Researcher

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