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    4. Markets 360 AI Research Long Term Internship London 2024
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    BNP Paribas is a leading bank in Europe with an international reach. It has a presence in 73 countries, with more than 196,000 employees, including around 149,000 in Europe. The Group has key positions in its three main activities: Domestic Markets, International Financial Services (whose retail-banking networks and financial services are covered by Retail Banking & Services) and Corporate & Institutional Banking, which serves two client franchises: corporate clients and institutional investors.

    BNP Paribas Corporate and Institutional Banking is a globally recognised leader offering capital markets, securities services, financing, treasury and advisory solutions.

    Business area/dept overview

    BNP Paribas’ Global Markets business offers a broad range of products and services in the global interest rates, credit, currency, equities & commodity markets. Global Markets help their franchise of clients find effective ways to raise and invest capital as well as manage their exposure to risk.

    Within Global Markets, Markets 360 is the client-facing research division consisting of economists and strategists providing analysis and views on markets across economies, Central Bank policies and asset classes.

    Purpose & scope of role

    • Seeking a highly motivated and technically skilled individual to join our team as a Markets 360 AI Research Intern.
    • The successful candidate will support by working on cutting-edge AI technologies, including large language models (LLMs), to drive innovation in our investment research initiatives.

    Key responsibilities of role

    • Collaborate with our research and development teams to design, implement, and optimize AI solutions for various projects.
    • Conduct independent research to identify opportunities for leveraging AI technology within our investment research domain.
    • Contribute to the development of systematic and industrialized AI solutions to enhance our investment strategies.
    • Work closely with cross-functional teams to ensure seamless integration of AI technologies into our existing infrastructure.
    • Stay updated on the latest AI advancements and industry trends to continuously improve our research efforts.

    Experience, qualifications & competencies

    • Strong background in a quantitative field, such as computer science, mathematics, engineering, or finance – a minimum of Undergraduate level required.
    • Proficiency in programming languages commonly used for AI development, such as Python.
    • Passion for AI technology and a proven track record of personal research in the field.
    • Demonstrated experience in developing and implementing AI solutions, with a focus on large language models and natural language processing.
    • Excellent teamwork and collaboration skills, with the ability to work effectively in a fast-paced, dynamic environment.
    • Ability to managing projects efficiently, including planning, execution, and monitoring.
    • Awareness of ethical considerations and implications of AI technologies, and a commitment to responsible AI development.
    • Strong understanding of the financial industry and investment research, including relevant regulations and compliance requirements.
    • Commitment to continuous learning and staying updated with the latest AI advancements and industry trends.