Quantitative Trading & Research – Securities Services and Payments – Associate or Vice President
On-siteLondon, England, United Kingdom
Job Summary
Develop AI/ML-driven analytics and automation to support business goals while building scalable data architectures for transaction volumes. Automate manual processes and construct sequential decision-making tools to optimize net interest income under liquidity and capital constraints. Drive projects end-to-end, from brainstorming and prototyping to model development, then make commercial recommendations through presentations to stakeholders. Leverage data visualization to communicate quantitative insights and partner with colleagues in Quantitative Research, CIB Treasury, and the Chief Data and Analytics Office to advance the CIB data strategy.
Required Qualifications
- Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc
- Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application
- Experience in tackling real world data science problems, end-to-end from prototype to production, using Python
- Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience
- Passion for learning, sharing knowledge, building collaborations, and getting things done
Desired Qualifications
- Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub
- You demonstrate hands-on experience in solving sequential decision making problems
- Experience in applying LLMs and/or deep learning methods to solve business problems
- Experience in working with Cloud and/or HPC environments
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