Fundamental Data Researcher

Chicago, New York

Point72

We invest in Discretionary Long/Short, Macro, and Systematic strategies. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. Join our team to innovate, experiment, and be...

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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

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Research Jobs

Tags: Data analysis Econometrics Economics Python Research Statistics Unstructured data

Perks/benefits: Team events

Region: North America
Country: United States

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