Hotline: 678-408-1354

CIB – Economic Research – Macroeconomic Data Scientist – Analyst/Associate

J.P. Morgan’s Corporate & Investment Bank (CIB) is a global leader in banking, markets and investor services. The world’s most important corporations, governments and institutions entrust us to provide strategic advice, raise capital, manage risk, and provide liquidity in more than 100 countries around the world.

J.P. Morgan Global Economic Research seeks a junior economist/data scientist to join our front office team working from our New York City headquarters. We conduct research aimed at understanding macroeconomic developments as they happen and improving our forecasts of growth, inflation, labor markets, and central bank policy. Our forecasts and research reach a wide audience of decision makers inside JP Morgan and at our clients around the world.

The person in this role will assist senior members of the team with forecasting, research, publications, and client interaction, with particular focus on our efforts to incorporate machine learning techniques and new, big, and alternative data into macroeconomic forecasting.

Responsibilities:

  • Write code in statistical packages to develop and backtest macroeconomic forecasting models
  • Build production-quality forecasting systems based on this research
  • Gather and summarize information like academic research, data documentation, and news articles
  • Interface with data vendors and internal contacts to identify, onboard, and maintain new datasets
  • Interact with internal and external clients to deliver our forecasts and research
  • Assist in writing publications like research notes and data updates
  • Assist in preparing Excel charts and Word documents for publications
  • Assist senior members of the team with various other aspects of forecasting, research, and publications

Qualifications:

  • Bachelors or advanced degree in economics and/or another quantitative discipline
  • Keen interest in macroeconomics
  • Substantial training and experience in computer programming
  • Substantial training and experience in statistics, econometrics, and/or machine learning
  • Substantial experience with statistical packages like R, Python, Matlab, or SAS
  • Communication skills to interact with clients in person and in writing
  • Proven ability to work independently on information-gathering, coding, data analysis, and writing
  • Experience with both macroeconomic time series and cross-sectional or microeconomic data is a plus
  • Experience with natural language processing is also a plus
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