Mia K.

jane street FTTP ‘26 | springs @ SIG, glencore, mckinsey tech&ai | warwick mathphys (course rep) curious about quantitative, tech & finance roles

United Kingdom

About

Mathematics & Physics undergraduate at the University of Warwick. Co-Founder of Collicula, an education platform managing academic support for A-Level & GCSE students.

Experience

  • McKinsey & Company (4 mos)
    • Summer School
      May 2026 - Present · 2 mos

      Invited following Discover Tech&AI cohort, to practice solving cases in more depth alongside McKinsey consultants.

    • Discover Tech&AI
      Mar 2026 - May 2026 · 3 mos

      McKinsey’s Discover Tech & AI programme in London, exploring problem solving, case work, and the role of technology in consulting.

  • FTTP Spring Week (First-Year Trading and Technology Programme) at Jane Street
    Mar 2026 - May 2026 · 3 mos

    A program where a select group of undergraduates learn more about Jane Street’s innovative trading and technology models through a series of classes, full days of programming and a team-based mock trading simulation game.

  • Discovery Programme (Women) at Susquehanna International Group
    Feb 2026 - Feb 2026 · 1 mo

  • Glencore UK (On-site)
    • Spring Intern (Commodities Spring Week)
      Mar 2026 - May 2026 · 3 mos

      A unique opportunity to gain insight and experience in the commodities trading sector and learn more about the day-to-day work of Glencore’s traders, analysts and risk managers through presentations, practical case studies and networking opportunities.

    • Women in Trading Insight Event
      Feb 2026 - Feb 2026 · 1 mo

      The first section offered a clear introduction to the core principles of commodities trading from Smart Global, covering key terminology, the logistics of Glencore’s unique vertically integrated structure, and what trading’s like, from physical flows to paper derivatives. We also explored the structure and variety of Risk and Analytics opportunities in Glencore’s commercial graduate pathway. We were then able to apply our knowledge in a collaborative crude oil trading simulation, reinforcing that successful trading is not instinct-driven or gambling, but grounded in structured risk management under uncertainty.

  • SSLC - MathsPhys representative at University of Warwick Department of Physics
    Oct 2025 - Present · 9 mos

    Represents the MathPhys cohort in meetings: raising issues, items for escalation, and closing the feedback loop between the Physics dept. and peers.