Quantitative Researcher Internship in AI Finance

1 week ago

London, United Kingdom Macro Hive Full time
Role Overview

We are seeking a talented Quantitative Research Intern to join our team at Macro Hive, a leading independent provider of global macro and financial market research. As a Quantitative Research Intern, you will work alongside experienced researchers on end-to-end research projects, leveraging advanced modelling and machine learning techniques to develop innovative solutions to complex financial problems.

Key Responsibilities:

  • Conduct research and analysis on financial data sets using advanced modelling and machine learning techniques.
  • Help implement and improve existing models and algorithms.
  • Assist in the development of new tools for the quant and data workflow.
  • Source new alternative data sets for the quant and data workflow.

Requirements:

  • BSc/MSc/PhD in a quantitative field, including but not limited to Mathematics, Quantitative Finance, Physics, Computer Science, or Engineering.
  • Experience working with machine learning techniques for supervised regression and classification tasks.
  • Strong foundation in statistics, including time series analysis, hypothesis testing, and regression analysis.
  • Proficiency in Python programming using the ML/scientific stack: NumPy, Pandas, scikit-learn, etc.

Desirable Skills:

  • Experience with object-oriented Python.
  • Experience with web-scraping.
  • Experience with cloud services (Azure preferred).
  • Experience with DevOps tools (Git, Docker, etc.).

About Macro Hive:

Macro Hive is a leading independent provider of global macro and financial market research. Our team of experienced researchers leverage quantitative techniques and cutting-edge technologies to develop innovative and data-driven solutions to complex financial problems.

What We Offer:

As a Quantitative Research Intern at Macro Hive, you will have the opportunity to work on exciting projects, collaborate with a talented team, and develop your skills in quantitative finance and machine learning.

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