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Doctoral Quantitative Finance Internship - AHL

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Man Group

Oct 26, 2023

Applications are closed

  • Internship
    Full-time
    Placement Program
  • Data
  • London

Requirements

  • Undertaking a PhD/DPhil in machine learning or a STEM discipline involving significant data modelling and analysis
  • With practical “hands-on” experience of:
  • Capturing, cleaning and modelling empirical data in an applied environment
  • Modern modelling techniques in machine learning, signal processing and forecasting
  • A passion for understanding financial markets through empirical data analysis and modelling
  • Excellent programming, scripting and scientific computing skills in Python and Linux
  • Broad expertise, pragmatism and open-mindedness
  • Excellent communication skills and enjoyment of collaborating to solve practical problems

Responsibilities

  • Automated investment strategy discovery, optimisation and control
  • Developing autonomous trade-execution and routing algorithms
  • Identifying investment opportunities using the latest natural language processing models
  • Isolation and extraction of predictive risk features from high frequency data
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Man Group

Entrepreneurial asset management within an institutional framework.

Finance
Industry
1001-5000
Employees
1783
Founded Year

Mission & Purpose

Man Group. Founded 1783. With a heritage in aiming to deliver attractive performance and tailored client solutions, Man Group is a highly active investment manager, powered by cutting edge investment technology. As a manager of millions of savers’ capital, we have a responsibility as stewards of those investments to create a better, more sustainable future for investors and society. Our quantitative expertise and data-driven culture means we believe Man Group is in a unique position to uncover the opportunities of the future. Our five investment management businesses leverage our robust infrastructure to provide a diverse range of strategies across investment approaches, styles and asset classes. We continuously invest in talent, technology and research as we strive to deliver the best results for our clients.

Benefits

  • Health & Wellbeing

  • Holidays

  • Compensation

  • Flexible Working

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