Sabeeh Ashhar
@sabeehashhar
I lead AI, quantitative research, and data products for institutional investment workflows at Morningstar.
United KingdomWhat I'm looking for
At Morningstar, I lead a 70-specialist global AI and Data Centre of Excellence, delivering production GenAI, multi-agent, quantitative research, and data platforms for institutional investment workflows. My work has driven $5M in revenue impact, a 30% productivity uplift, and a 40% improvement in chatbot answer quality.
I've built AI-powered investment analytics spanning $750B+ in tracked assets, private-market pricing, portfolio and risk analytics, and LLM-ready data products. Across 20 years in financial services and analytics, I've scaled global teams, launched AI transformation programmes, and turned quantitative models into commercial products.
Experience
Work history, roles, and key accomplishments
Lead global AI and Data Centre of Excellence, owning AI roadmap, Responsible AI governance, and production GenAI/quant systems for institutional investment workflows. Delivered multi-agent systems, hybrid retrieval pipelines, and AI writing assistants, improving answer quality by 40% and processing 100,000+ monthly queries.
Built and led EMEA quantitative research function; architected AI-powered investment analytics platforms across thematic investing, private markets, risk models, and portfolio analytics. Scaled analytics organization from 4 to 80+ global specialists and drove enterprise-wide AI transformation.
Associate Director, Quantitative Research and Data Analytics
Sep 2017 - Jan 2021 (3 years 4 months)
Led development of multi-factor portfolio frameworks for Indian equity markets and managed quant research and data analytics delivery across APAC research workflows, data lake architecture, and FinTech product delivery.
Group Manager
Evalueserve
Sep 2014 - Sep 2017 (3 years)
Built analytics practice from the ground up, responding to 200+ RFPs/RFIs and creating a $5M revenue stream with a 40-member global team. Architected customer analytics platform and enterprise data platforms with automated ML pipelines.
Improved marketing ROI by 10% through market mix modelling and campaign response models. Generated $500K incremental revenue by selling and delivering a point-of-sale analytics solution for a Fortune 100 CPG company.
Data Science and Engineering Roles
Cognizant, Wipro, Accenture
Jan 2006 - Dec 2010 (4 years 11 months)
Built predictive analytics, text mining, time-series forecasting, ETL, data migration, ERP, pricing, promotions, invoicing, and demand forecasting solutions. Optimized grid demand and workforce planning by 20% and improved CSAT by 25%.
Education
Degrees, certifications, and relevant coursework
University of Strathclyde
MBA, Finance and Strategy
2010 - 2011
MBA in Finance and Strategy from the University of Strathclyde, completed in 2011.
Aligarh Muslim University
B.Tech, Mechanical Engineering
2002 - 2006
B.Tech in Mechanical Engineering from Aligarh Muslim University, completed in 2006.
Tech stack
Software and tools used professionally
Availability
Location
United KingdomAuthorized to work in
Salary expectations
Social media
Job categories
Skills
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