Role overview
*Company Purpose:
Our company purpose is to contribute to a responsible and sustainable economy by financing and advising clients according to the highest ethical standards.
Our employer promise is built around three pillars:**
Being a great place to work
Committed to sustainability and having a positive impact
Being dedicated to the development of our people
What you'll work on
Collaborate with our GM Data and AI Lab teams to design, implement, and optimize AI solutions for various projects
Conduct independent research to identify opportunities for leveraging AI technology within the Markets 360 investment research domain
Contribute to the development of systematic and industrialized AI solutions to enhance 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 Markets 360 research efforts
What we're looking for
Master’s degree in a numeric subject with understanding of economics and markets (e.g. Economics with a speciality in Econometrics, Finance, Computer Science, Applied Maths, Engineering, Physics)
Strong background in a quantitative field, such as Computer Science, Mathematics, Engineering, or Finance
Knowledge of key concepts in Statistics and Mathematics such as Probability Theory, Inference, and Linear Algebra
Programming skills in Python and knowledge of common numerical and machine-learning packages (NumPy, scikit-learn, pandas, Keras, TensorFlow, PyTorch)
Demonstrated experience in developing and implementing AI solutions, with a focus on large language models and natural language processing
Passion for AI technology and a proven track record of personal research in the field
Excellent teamwork and collaboration skills, with the ability to work effectively in a fast-paced, dynamic environment
Ability to manage projects efficiently, including planning, execution, and monitoring
Awareness of ethical considerations and implications of AI technologies, and a commitment to responsible AI development
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