Credit Data Researcher for Systematic Trading

Point72; Chicago (IL); On-site; USD 90,000 - 140,000; Full time

Job summary

Point72 is seeking a Data Researcher for its Cubist portfolio management team focused on systematic trading of US credit markets. You will design processes to normalize and sanitize fundamental data from public companies (10Q/10K) and track real-time corporate events such as bond issuances and redemptions.

The role involves independent data analysis, identifying anomalies, and supporting researchers to predict capital structure changes and corporate outcomes, with opportunities to explore

Qualifications

• 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

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

Skills

Strong communication skills

Team player

Detail-oriented

Self-motivated learner

Education

Bachelor's degree in Accounting, Economics, or related field

CPA or CFA is a plus

Tools

Python

Job description

Point72 is seeking a Data Researcher for its Cubist portfolio management team focused on systematic trading of US credit markets. You will design processes to normalize and sanitize fundamental data from public companies (10Q/10K) and track real-time corporate events such as bond issuances and redemptions.

The role involves independent data analysis, identifying anomalies, and supporting researchers to predict capital structure changes and corporate outcomes, with opportunities to explore