Máté Egri

Máté Egri is a Hungarian mathematician and quantitative researcher. He represented Hungary at the International Mathematical Olympiad 2018 (bronze medal), then earned a BA in Mathematics at the University of Cambridge (2018-2021) and an MSc in Actuarial and Financial Mathematics at Eötvös Loránd University in Budapest (2022-2024), with the thesis 'Financial bubbles from an epistemic viewpoint'. He was a Model Risk Management intern (2022-2024) and then a Quantitative Model Developer, Associate (2024-2025) at Morgan Stanley in Budapest, and is now a doctoral researcher at the Oxford-Man Institute of Quantitative Finance, University of Oxford (from 2025).

Notes6

• Quant employment verification: CONFIRMED. Máté Egri (IMO 2018 Hungary bronze medalist; Cambridge BA Mathematics; ELTE MSc Actuarial and Financial Mathematics; Oxford-Man Institute doctoral researcher) held two roles at Morgan Stanley in Budapest per his LinkedIn: 'Model Risk Management | Intern' (2022-2024) and 'Quantitative Model Developer | Associate' (2024-2025). Morgan Stanley (morganstanley.com) is a global investment bank whose Budapest office does quantitative model development and model-risk work, so both are actual quantitative-finance roles rather than student programs. Identity is supported because the same profile matches the IMO 2018 identity (Hungary) and the ELTE MSc thesis authored by 'Egri Máté' (NEPTUN JB33G5), and lists the Oxford-Man doctoral role corroborated by the institute's own people page.Sep 2025
• Doctoral Researcher at the Oxford-Man Institute of Quantitative Finance, University of Oxford from 2025, continuing the quantitative-finance track begun at ELTE.2025
• Held the Morgan Stanley Budapest 'Model Risk Management | Intern' role for roughly two years (2022-2024) while completing the ELTE master's, then converted to the full-time 'Quantitative Model Developer | Associate' (2024-2025) at the same firm, an intern-to-associate path within model risk / quantitative model development.Nov 2024
• Bronze medal at the 59th International Mathematical Olympiad (2018) representing Hungary, rank 147, 24 points (P1 7, P2 4, P3 0, P4 6, P5 7, P6 0).Jul 2018
• The caller-supplied lead asserted a Morgan Stanley 'Quantitative Model Developer | Associate' role ending September 2025 and an accented LinkedIn slug; LinkedIn-derived experience shows the role as 2024-2025 and the slug resolves to the same profile, so the lead is corroborated, while the index-only handle 'taiga-1154627315' is not independent confirmation.2025
• Master's thesis 'Financial bubbles from an epistemic viewpoint' (ELTE, May 2024), supervised by Miklós Pintér (Corvinus) and Gábor Molnár-Sáska (ELTE), a mathematical-finance treatment of asset-price bubbles evidencing a specialisation in financial/actuarial mathematics.May 30, 2024
• Course Instructor at Eötvös Loránd University, Budapest (2024-2025), concurrent with the Morgan Stanley quantitative model developer role, indicating a teaching appointment alongside industry work.2024
• BA in Mathematics, University of Cambridge, 2018-2021, matriculating immediately after the IMO 2018 year.2021
• A GitHub account 'egrimate' (github.com/egrimate) surfaced as a name candidate but exposes no name, company, bio, or repositories to corroborate identity; retained as an unverified lead, not attributed.