Quantitative Trading & Research, Securities Services, Payments and CIB Treasury, Associate

What you'll do

• Develop AI/ML-driven analytics and automation to support specific business goals.
• Build a scalable data architecture to manage large volumes of transaction data.
• Automate manual processes and build tools to optimize decision-making and deposit management.
• Build sequential decision-making tools to optimize net interest income under various constraints.
• Drive projects end-to-end from initial brainstorming and prototyping to model development.
• Make commercial recommendations through presentations to various stakeholders.
• Use data visualization to communicate quantitative insights for business decision-making.

What we're looking for

• Advanced degree (PhD or MS) or equivalent in a quantitative field like Physics, Mathematics, Computer Science, or Engineering.
• Robust understanding of Machine Learning, Statistics, and Mathematics fundamentals and applications.
• Experience tackling real-world data science problems from prototype to production using Python.
• Excellent verbal and written communication skills with the ability to present findings to non-technical audiences.
• Participation in KDD/Kaggle competitions, Hackathons, or contributions to GitHub (preferred).
• Hands-on experience in solving sequential decision making problems (preferred).
• Experience applying LLMs and/or deep learning methods to solve business problems (preferred).
• Experience working with Cloud and/or HPC environments (preferred).