Data Scientist, Credit Research and Insights

il y a 3 semaines


Paris, Île-de-France S&P Global Temps plein
Data Scientist, Credit Research and Insights

S&P Global is seeking a highly motivated and experienced Data Scientist to join our Credit Research and Insights team in London.

About the Role:

  • As a Data Scientist, you will play a crucial role in shaping and managing our team's data-driven research projects.
  • You will be responsible for organizing and analyzing large data sets, communicating findings to senior analysts, and driving business decisions and research based on insights obtained from the data.
  • You will also use natural language processing to analyze internal and external data, propose data solutions and strategies to business challenges and opportunities, and assist with improving data efficiencies and processes across the team.
  • Additionally, you will conduct quantitative and qualitative credit research, and various statistical analyses to analyze trends, monitor and analyze key global market credit trends, and manage Access and Oracle databases, including writing queries.
  • You will also write commentary to support research observations, meet rigorous publishing deadlines, and interpret and articulate research report findings for external clients and internal stakeholders.

Requirements:

  • 3-5 years of experience in a data science role.
  • Degree in a highly quantitative field: Computer Science, Machine Learning, Statistics, Mathematics, etc.
  • Proficiency with data mining, knowledge of probability theory and advanced statistical techniques.
  • Experience with regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis.
  • Experience with scientific scripting languages (Python, R, Matlab).
  • Experience accessing and manipulating data in SQL database environments.
  • Experience presenting to internal and external audiences.
  • Comfortable working in a dynamic, fast-paced environment.
  • Team player with a track record of collaboration with cross-functional and cross-regional teams.
  • Demonstrated ability to self-manage, take initiative, and meet deadlines.

Preferred Qualifications:

  • Advanced degree in a quantitative field preferred.
  • Prior experience working in a research capacity within financial markets.


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