Mark Karneichyk
Prediction markets / high-frequency trading and quantitative research; IOI 2018 silver medalist (Belarus). Background in algorithms, market microstructure and on-chain data. Based in the UAE.
- Quant employment verification: CONFIRMED. He holds (per his LinkedIn profile, index-derived self-reported data) actual quant/trading roles, not student programs: Quantitative Researcher + Developer (2022-2023) and Quant Team Lead | Researcher & Developer (2023-2024) at an employer withheld as 'NDA', and from 2025 a 'Prediction Markets Trading' role at a private team; his public posts describe building prediction-market market-making infra and trading for several years. Identity is supported: IOI/CPHOF/Codeforces handle 'markysha' matches his LinkedIn handle and 'IOI winner' headline. Caveats retained: the quant employer names are withheld ('NDA') so employer-level classification is unverified, the roles are crypto/prediction-market focused rather than a named bank or hedge fund, the strongest evidence is his own profile/posts rather than independent primary sources, and the Center of Mathematical Finance role is educational (seminars), not a quant employer.
- Career timeline (LinkedIn index, self-reported profile data - index-only, not independently confirmed at employer level): Yandex Intern Backend Developer 2019; Awatera Frontend+Backend dev 2020; Huawei Intern Data Engineer 2020-2021; Tinkoff Junior Software Engineer 2021; Center of Mathematical Finance Product Owner/Seminars teacher 2022-2023; NDA Quantitative Researcher+Developer 2022-2023; NDA Quant Team Lead 2023-2024; TON Foundation Senior Data Analyst 2024-2025; private prediction-market trading team 2025-present.
- Identity anchor: the IOI statistics page lists Mark Karneichyk of Belarus with a 2018 IOI silver medal and links the Codeforces handle 'markysha'; the same 'markysha' slug is the LinkedIn handle and his LinkedIn headline reads 'IOI winner', so the Olympiad record and the LinkedIn profile are consistent with one person (aggregator/index corroboration, not independent primary-source confirmation of employment).
- The two quant roles are listed under an anonymising label 'NDA' with no verifiable employer name; their descriptions are crypto-market focused (inside/cross-exchange latency arbitrage, Binance/OKX market-data feeds, strategies from scratch), consistent with proprietary crypto trading rather than a named bank or hedge fund, so employer-level quant classification cannot be verified from the index alone.
- His LinkedIn summary states 'we build production-grade prediction market infra and algorithms', and a post says a 'small team' does this - self-described current activity in prediction-market/HFT market-making, matching the index's current role 'Prediction Markets Trading at private team' (2025-present).
- CPHOF profile confirms a 2018 IOI silver medal (score 60) for Belarus, cross-linked to Codeforces handle markysha.
- A post records an interview with a non-public team specialising in arbitrage, information trading and farming, where he was asked about on-chain data work and an anti-multiaccounting system he built, and given a live orderbook task on ASTER/USDT (Aster DEX) - indicating active engagement with crypto market-making/arbitrage roles.
- 'Center of Mathematical Finance' role (Product Owner, Seminars teacher 2022-2023) is educational: he managed 50+ students on projects titled 'High Frequency Market Making in the crypto markets' (2022) and 'Market Prediction in the crypto high frequency trading' (2023). Teaching/mentoring, not employment at a quant firm.
- A post claims '$50k/month on Polymarket' based on analysing the top 1,000 markets - self-reported prediction-market trading revenue, not independently verified.
- At TON Foundation (2024-2025, Senior Data Analyst) the index describes saving >$500k identifying sybils and bot activity in airdrops - crypto analytics rather than quantitative trading; TON Foundation is the organisation behind the TON blockchain, a crypto entity, not a quant fund.
- Education: Bachelor in Applied Mathematics and Informatics, Higher School of Economics (2018-2022), plus Data Analysis School (2021-2022) - index-only from the LinkedIn profile. The IOI 2018 medal and 2018-2022 HSE dates line up with an undergraduate Olympiad track.
- Contact: a work email [contact omitted] appears on the LinkedIn profile as the primary contact - a personal-work address rather than a corporate one, consistent with independent/small-team trading work.
◦ Saved >500k$ identifying sybils and bot activity in airdrops, used AI as one of methods ◦ Automated analytics routine across dozens of directions ◦ Conduct thorough research to u
◦ Made trading strategies from scratch. Achieved profitable results. ◦ Analyzed exchanged market data, tested hypotheses. High performance implementation
◦ Researched inside- and cross- exchange latencies for arbitrage strategies, created competitive binance...okx channel ◦ Choosed best market data feeds through latencies of differe
Managed and assisted students (50+ in total) in projects: ◦ 2022 High Frequency Market Making in the crypto markets ◦ 2023 Market Prediction in the crypto high frequency trading
Backend development of search engine During my work period, almost fully finished transition from old Scala version to built from scratch new C++
◦ Optimized of one of the most popular open-source gradient boosting libraries 50-200% speedup on different datasets ◦ Implemented several algorithms (word2vec, node2vec, matrix ra
Fullstack development of business platform (NodeJS, React)
Competition record
Belarus · IOI