VP, AI Quant Strategist - Credit, Commodities and Capital Markets

Responsibilities

• Design, prototype, and deploy LLM-powered tools and agentic workflows for sales, trading, and banking.
• Help integrate AI into existing analytics and data workflows.
• Contribute to the development of reusable AI frameworks and standards that accelerate firm-wide adoption of AI.
• Partner with product and domain specialist teams to test new AI ideas and turn them into real tools that the business can use.
• Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers.
• Supports the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization.
• Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk.
• Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches.

Requirements

• Experience with LLMs, agentic frameworks and modern AI tools.
• Strong programming skills and comfortable building production-ready tools.
• Able to collaborate effectively across global teams and strong communication skills.
• Understanding of financial products and markets, with an interest in applying AI to real commercial workflows.

Qualifications

• Master’s degree in related field or equivalent work experience.