Seiya David
Vice President Lead Data Scientist Asset and Wealth Management @J.P. Morgan
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WORK HISTORY
Vice President Lead Data Scientist Asset and Wealth Management @J.P. Morgan
London, GB
J.P. Morgan | Vice President, Lead Data Scientist (2025–Present)- Lead a global team of data scientists across the USA, and India driving GenAI and MLOps innovation- Designed an AI anomaly detection framework monitoring 100+ market composites — reducing manual review time by 95%- Active member of the J.P Morgan Data Science Steering Committee, mentoring early-career AI professionals.
EDUCATION
London Metropolitan University
Master of Science (MSc.), Mathematics
Durham University Business School
Master of Business Administration - MBA, Business Administration and Management, General
University of Port Harcourt
Post Graduate Diploma, Statistics
ABOUT SEIYA DAVID
I am a Vice President and Lead Data Scientist at J.P. Morgan, driving the intersection of AI, quantitative analytics, and financial strategy. My focus is on building enterprise-scale GenAI and ML systems that accelerate decision-making, strengthen risk management, and unlock measurable value.Over more than a decade across J.P. Morgan, LSEG, Lloyds Banking Group, and HSBC, I’ve led cross-regional teams delivering production AI for Asset & Wealth Management, Capital Markets, and Risk Innovation.Impact Highlights• Designed a real-time AI anomaly-detection platform monitoring 100 + market composites → 95 % cut in manual review.• Built a GenAI / ML incident-clustering engine → £700 K annual savings and full triage automation.• Developed a Bloomberg usage optimization model → £6 M vendor-cost reduction.• Pioneered data-driven automation reducing processing time from 4 hours → 1 minute.I pair technical depth (Python | LangChain | AWS SageMaker | MLOps | LLMs) with strategic acumen from my MBA at Durham University, ensuring AI delivers tangible business outcomes.I’m passionate about ethical AI, financial innovation, and mentorship—helping organizations and people evolve with intelligent, data-centric decision-making. Open to thought-leadership collaborations and AI / Data Science leadership opportunities in London and the Middle East.
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