Márton Németh
Hungarian computer-science student and competitive programmer. Represented Hungary at the International Olympiad in Informatics in 2022 (Honourable Mention) and 2023 (Bronze). Studies Computer Science at the University of Edinburgh, with a 2025-2026 exchange year at the National University of Singapore. Technical focus on computer systems, cloud/serverless performance, and software engineering.
- Quant employment verification: CONFIRMED. The subject's LinkedIn profile (https://uk.linkedin.com/in/martoncnemeth, keyed to the IOI 2022/2023 Hungary identity) lists a software-engineering internship at Marshall Wace, Jun 2026 - Sep 2026, London. Marshall Wace is a genuine quantitative/systematic hedge fund - its own site describes 'quantitative, systematic and fundamental strategies' and 'ground-breaking quantitative and systematic model development'. The role is engineering (SWE), not quant research or trading. No other quant-trading employer appears; BlackRock is a 2025 spring INSIGHT programme (exposure only), and PwC Hungary is a 2024 software internship at a professional-services firm.Jun 2026
- Marshall Wace SWE internship: LinkedIn lists it as 'Jun 2026 - Sep 2026, 4 months, London Area, United Kingdom, Intern on the ...' (truncated), labelled 'Incoming' with a 2026 start-year relative to the snapshot - whether it has begun is not settled by this source.Jun 2026
- Cross-source synthesis: the profile is a systems/engineering trajectory (cloud-systems research, autonomous driving, SWE internships), not a quant-research one; the single quant-fund employer (Marshall Wace) is engaged for software engineering, and no quant research, trading or market-making role appears at any point.
- Co-author (4th of 7) of 'Spandana: Reconciling strict SLOs with low cost under fine-grained load fluctuations', a University of Edinburgh systems paper (Institute for Computing Systems Architecture), listed as a SoCC 2026 conference contribution.May 28, 2026
- BlackRock entry ('Spring Insight Participant', 2025, Edinburgh) is an insight programme, not employment: the description says he 'gained exposure to the Aladdin Engineering division' - awareness wording, not a work deliverable.2025
- Employer classification: Marshall Wace = alternative investment manager / quant hedge fund; PwC = Big Four professional services (not quant); BlackRock = asset manager (the 2025 entry is a spring insight programme, not employment); Edinburgh University Formula Student = student team; University of Edinburgh = academic. Only Marshall Wace is a quant-finance employer.
- Computer Systems Research Intern at the University of Edinburgh's Institute for Computing Systems Architecture (2025): low-latency, cost-efficient cloud systems; benchmarked serverless and VM deployments.2025
- Software Engineer Intern at PwC Hungary (2024, Budapest): automated spreadsheet-to-database data extraction; the earliest paid software role on the profile and not a quant-trading firm.2024
- IOI 2023 (Hungary, Szeged): 179.0/600, rank 147/350, Bronze medal.Sep 4, 2023
- Software Engineer, Planning and Control, Edinburgh University Formula Student (Sep 2023 - Jul 2025, ~2 yrs): autonomous-driving systems using ROS2, Python and C++ - his longest-running technical role to date.Sep 2023
- IOI 2022 (Hungary): 141.15/600, rank 182/349, Honourable Mention.Aug 15, 2022
- The paper was presented at a UK Systems workshop; the 2026 slide deck lists MARTON NEMETH among the authors, placing his work in the UK systems-research community.2026
• Conducted research on low-latency, cost-efficient cloud systems at the Institute for Computing Systems Architecture • Benchmarked serverless and VM deployments under realistic wo
• Gained exposure to the Aladdin Engineering division, learning about its various subteams and their roles in supporting BlackRock’s investment operations and clients. • Collaborat
• Automated the extraction of data from spreadsheets to streamline database construction after data updates. • Constructed a solution for extracting data from inconsistently format
• Tasked with developing part of the systems for autonomous driving of the formula-style race car • Leveraging technologies including ROS2, Python, and C++ to create advanced contr
Competition record
Hungary · IOI