Lev Shabanov

Lev Shabanov is a Russian-born quantitative researcher and data scientist based in Berlin. He represented the Russian Federation at the International Mathematical Olympiad twice, taking silver in 2012 and gold in 2013, and went on to a Higher School of Economics bachelor's and an MIPT master's and PhD in mathematics and computer science, publishing on Turán-type bounds for distance graphs. His industry work combines mathematics, data science and quantitative trading: a 2016 WorldQuant internship developing daily equity strategies, a Senior Data Scientist role at Huawei working on graph neural networks, a Quantitative Researcher post at Second Foundation building mid-frequency crypto strategies, and a current Data and Signal Engineer position where he researches alpha-generation signals on equities and crypto perpetuals.

Notes9

• Quant employment verification: UNRESOLVED. Identity is supported by converging independent sources: the IMO record (silver 2012, gold 2013 for the Russian Federation), a 2015 German-Russian Week conference programme listing 'Lev Shabanov (Higher School of Economics)' presenting on distance graphs, Math Genealogy's 'Lev Eduardovich Shabanov' with a distance-graphs dissertation under Andrei Raigorodskii, and the MIPT combinatorics lab's publication list - so the person is real and mathematically identifiable. The employment leads, however, come only from the LinkedIn profile index, which is not independent primary-source confirmation: an internship at WorldQuant (Moscow, 2016, developing daily equity strategies and combining futures alphas), a Quantitative Researcher role at Second Foundation (Berlin, 2023, mid-frequency crypto strategies), and a current Data and Signal Engineer role at an undisclosed hedge fund (from 2024). Employer classification: WorldQuant is a quantitative asset-management firm (genuine quant finance), and Second Foundation is confirmed by its own site as an algorithmic energy-trading house (quant trading in energy markets). But a conflicting employer signal exists - public LinkedIn directory snippets for the Berlin 'Lev Shabanov' also list 'Teza Technologies' (a quantitative HFT firm), which the enrichment does not show - and no independent source confirms any of these roles. The quant roles are therefore plausible and consistent with the mathematics/data-science background, but the employment itself remains index-only and unverified, so verification is UNRESOLVED rather than CONFIRMED.Sep 17, 2026
• Current role listed as Data and Signal Engineer at an 'Undisclosed Hedge Fund' (Berlin, from 2024), researching alpha-generation signals with seconds-to-minutes holding periods on US equities and crypto perpetuals.Dec 1, 2024
• Quantitative Researcher at Second Foundation (Berlin, 2023) implemented mid-frequency crypto-market strategies and tooling; two strategies passed out-of-sample tests and entered production.Apr 1, 2023
• WorldQuant internship (Moscow, 2016, ~Jul-Sep per caller lead) involved developing daily equity trading strategies and combining futures alphas; WorldQuant is a global quantitative asset-management firm, so this is a genuine quant internship rather than a student program.Jul 1, 2016
• Second Foundation is an algorithmic energy-trading firm (founded Prague 2019, ~300 staff) that trades flexible power plants and battery storage intraday - it classifies as a quantitative trading house operating in energy markets.Mar 17, 2025
• The academic and industry records converge: the IMO contestant entered HSE in 2013 (same year as his IB/11B school graduation) and the 2015 conference programme already places a 'Lev Shabanov' at HSE speaking on distance graphs, the exact topic of the later MIPT PhD - which suggests the school Olympiad profile, the combinatorics researcher, and the Berlin quant/data-science profile are one continuous biography rather than namesakes.Sep 7, 2015
• Public LinkedIn directory snippets for the Berlin 'Lev Shabanov' also surface 'Teza Technologies' as one of his listed employers; Teza is a quantitative high-frequency trading firm, but this employer is unverified and conflicts with the enrichment's 'Undisclosed Hedge Fund', so it is treated as a lead only.Sep 17, 2026
• His career moved from pure mathematics research (MIPT scientific researcher, 2017-2020, and teaching olympiad students 2015-2019) into applied ML (Huawei GNN work 2020-2023) and then into quantitative finance (Second Foundation 2023, hedge fund 2024), suggesting a gradual shift from academia toward industry quant rather than a single pivot.Dec 1, 2024
• Enrichment rows an education path of HSE bachelor (2013-2017), then MIPT master's (2017-2019) and MIPT PhD in Mathematics and Computer Science (2019-2022).Jan 1, 2022
• Math Genealogy records the PhD as 'Lev Eduardovich Shabanov', dissertation 'Turán type theorems for distance graphs', advisor Andrey Mihailovich Raigorodskii - giving the patronymic alias and tying the academic and industry records to one person.Jan 1, 2022
• Senior Data Scientist at Huawei (Moscow, 2020-2023) working on GNN algorithms in PyTorch/PyTorch-Geometric with a custom loss function and hyperbolic GNN research - a large technology employer, not a quantitative-finance firm.Jan 1, 2020
• Lev Shabanov competed for the Russian Federation at the IMO twice: silver medal in 2012 (rank 85, 23 pts) and gold medal in 2013 (rank 10, 35/42 pts).Jul 28, 2013