Vedant Dubey

MSci Physics @ UCL

United Kingdom

About

MSci Physics Graduate at UCL with experience within Energy Trading, Strategy Consulting, Data Science, and Scientific Research roles, along with valuable leadership positions in various societies/groups.

Experience

  • LCN Research Collaborator at London Centre for Nanotechnology
    Oct 2025 - Apr 2026 · 7 mos

    MSci Dissertation: Real-Space Probing of Topological States in Finite Atomically Engineered Islands (Achieved First Class Honours) Supervised by Prof. Andrew J. Fisher

  • Junior Gas Trader at Dare
    May 2025 - Nov 2025 · 7 mos

    Front Office Gas Trader role. I executed real-time trading strategies across European gas markets (NBP, TTF, THE, ZTP) using Trayport Joule, consistently exceeding P&L targets during off-peak hours. My role involved managing physical gas nominations, cross-border flow scheduling, and storage optimisation via PRISMA and EZ-Ops. I regularly identified and acted on arbitrage opportunities by combining market fundamentals with intraday volatility.

  • Head of Marketing at UCL Quantum Society
    Dec 2024 - Jun 2025 · 7 mos

  • Transition Mentor at UCL
    Sep 2024 - Nov 2024 · 3 mos

    Guidance and Support Mentorship role for First Year Physics students in the Mathematical and Physical Sciences (MAPS) faculty at UCL. I planned and delivered sessions that focused on academic guidance, mental health well-being, and university transition. This helped mentees navigate their academic and personal challenges while fostering a positive and successful start to their UCL journey.

  • Founder’s Associate at theInterna
    Aug 2024 - Oct 2024 · 3 mos

    I led market entry analysis for a startup expanding curricular and extracurricular Placement/Industry Year offerings for startups into 3-5 non-European countries, utilising appropriate dynamic frameworks (such as DVF and startup-student split) to assess regulatory environments and strategic fit. I conducted qualitative research through interviews with founders and students which enhanced my quantitative research dataset by 50%, and applied Python and Microsoft tools to evaluate market size, demand, and startup ecosystems. I applied these to produce data-driven recommendations and a strategic expansion plan, informing the startup’s growth strategy and priority markets.