Quantitative Trading & Research – Securities Services, Payments and CIB Treasury – Associate or Vice President

Overview

In this role you will tackle technically complex business problems by applying advanced quantitative methods and AI/ML at scale. You will partner with business teams to identify pain points and iterate practical solutions, leveraging data infrastructure and cloud capabilities. You’ll develop ML-driven analytics, automate processes, and build decision-support tools to optimize liquidity, deposits, and net interest income. The position offers involvement in cross-team data strategy and real-world impact across CIB Treasury and related functions.

Responsibilities

• Develop AI/ML-driven analytics and automation aligned with business goals
• Design scalable data architectures to manage large volumes of transaction data
• Automate manual processes and build tools for decision-making and deposit management
• Create sequential decision-making tools to optimize net interest income under liquidity and balance sheet constraints
• Drive projects end-to-end from ideation to model development and deployment
• Present findings to stakeholders to enable commercial decisions
• Use data visualization to communicate quantitative insights for decision-making
• Collaborate with Quantitative Research, CIB Treasury, CIO, and CDAO to advance the data strategy

Key requirements

• Advanced degree in a quantitative field (PhD or MS) or equivalent
• Strong ML, statistics, and mathematics foundations with practical application
• Experience tackling real-world data science problems end-to-end in Python
• Excellent verbal and written communication with non-technical audiences

• learning mindset
• collaboration
• delivery-focused
• Machine Learning
• Statistics
• Python

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