CIB Global Research - Data Science Manager

Location:Greater London
Job Type:Full Time
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J.P. Morgan’s Corporate & Investment Bank (CIB) is a global leader across banking, markets and investor services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries.

CIB Research

One of the world’s most highly respected advisory franchises, J.P. Morgan fundamental and quantitative research provides thoughtful fundamental analyses for the world’s largest public and private institutional investors including: asset managers, pension funds, governments, hedge funds, and large corporations. Generating actionable ideas and thematic insights that empower our clients to make well-informed investment and strategic decisions.


  • Build and lead a Data Science team to support Global Research for the CIB

  • Design & implement granular domain-specific indicators from data, relating them to company, industry, and macroeconomic factors

  • Propose and design investing strategies on economic predictions through multiple investing paradigms

  • Manage requirements for a set of dependent data products derived from a large portfolio of integrated data feeds

  • Create data sourcing strategy across multiple industry data verticals supporting our prediction efforts

  • Generate a series of economic insights research reports relating trends in our indicators & predictions to investment themes

  • 5+ years of experience in applied data analysis & prediction

  • Experience in Analytics Leadership role. Capable of delivering practical data insights in a compelling manner actionable by senior leadership

  • Expert Python programming experience

  • Strong experience with Machine Learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels)

  • Experience in an Analytics role in Financial Services beneficial but not mandatory

  • Bachelor’s degree in relevant quantitative field (e.g. Statistics, Economics, Applied Math, Operations Research, other data science fields), advanced degree or certification in the analytical field preferred

  • Demonstrably strong data science modeling intuition and feature engineering creativity

  • Expertise in applying statistical techniques for time-series measurement/estimation and prediction

  • Strong written & verbal communication and presentation skills, with experience crafting a compelling narrative supported by data

  • A portfolio of open-data analyses or data-driven research publications would be ideal