Saimur Mujib Rahman
Final-year undergraduate physicist at the University of Oxford whose interests sit at the intersection of rigorous science, applied AI, and real-world decision-making.

Biography
Saimur Rahman is a final-year undergraduate physicist at University of Oxford whose interests sit at the intersection of rigorous science, applied AI, and real-world decision-making. In August 2026 he will join Jefferies Investment Bank as an Equity Research Associate, bringing a quantitative mindset honed in the lab and refined through hands-on work with data-driven systems.
His route to markets has been deliberately cross-disciplinary. In summer 2023, at the Okinawa Institute of Science and Technology, Saimur worked as a research intern in quantum computing—an experience that sharpened his feel for complex systems and precision. The following year, at Starling Bank (summer 2024), he moved from theory toward impact, contributing to AI-driven information security and learning how to translate technical capability into operational resilience. By summer 2025 he was building on that arc at Jefferies, focusing on AI engineering within an investment-bank setting and seeing first-hand how tools and models can surface insights that matter to investors.
Beyond his internships, Saimur's commitments reflect a belief that knowledge should be practical, accessible, and civic-minded. He designed and teaches the Physics and Mathematics curriculum at a homeschool in Oxford, turning advanced ideas into understandable, confidence-building lessons. On campus, he served as Vice President of Oxford Islamic Society, helping to steward community, dialogue, and service. He also sits on the executive committee of a London-based nonprofit dedicated to cleaning litter across the city's boroughs—quiet, persistent work that improves public spaces and builds local responsibility.
Across these experiences runs a consistent thread: making sense of complexity and putting that understanding to work. Whether modelling quantum systems, securing information flows, or engineering AI tools for analysts, Saimur focuses on clarity, reliability, and usefulness. As he transitions into equity research at Jefferies, he brings to the role the habits of a physicist, the pragmatism of an engineer, and the perspective of a teacher and community organiser—an approach aimed at turning data into decisions and analysis into action.
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Meet Saimur Mujib Rahman and other distinguished speakers at the book launch and discussion programme.