- Quant employment verification: CONFIRMED. Identity: Emma Hovhannisyan (IMO 2007 Armenia contestant id 15386) is the same person as the Switzerland-based mathematician/data scientist whose LinkedIn is linkedin.com/in/emmahovhannisyan (PhD Mathematics, University of Zurich; MSc Mathematics, ETH Zurich; BEng Applied Mathematics & Informatics, SEUA). Employment: LinkedIn enrichment (index-derived) lists a past role 'Senior Quantitative Analyst at EVMTech AG', Zurich Area, 2017-2020, with description citing 'statistical inference and machine learning'. Employer classification: EVMTech AG (evmtech.com) describes itself as a 'risk management advisory and software company for the financial services industry', offering stress testing, operational risk models and economic scenario generation (Sceneco) - i.e. quantitative risk/analytics for banks, so a quantitative-finance employer. Caveat: the role and dates rest on index/LinkedIn enrichment, not an independent primary source; treat the EVMTech role as index-only, employer classification as primary (company site).2020
- The only quantitative-finance employer evidence is EVMTech AG, a Zurich risk-management advisory/software firm (stress testing, operational risk, economic scenario generator) - a risk-analytics vendor to banks rather than a trading/market-making desk. No trading, market-making, or hedge-fund employer appears anywhere in the public record; Roche (healthcare/pharma) dominates 2020-present.2020
- Career is a clean mathematics-to-industry arc anchored by two Zurich institutions: a UZH PhD (papers with Delbaen/Nikeghbali on limit theorems and random matrix statistics) feeds directly into an EVMTech risk-analytics quant role (2017-2020) and then Roche data science - the academic publication record and the quant role overlap in time (2017-2018), consistent with the PhD finishing while the EVMTech role began.May 2018
- Career spans academia into industry: PhD Mathematics (University of Zurich, supervision context: probabilistic/number-theory group around Delbaen/Nikeghbali), then Senior Quantitative Analyst at EVMTech AG (Zurich risk-advisory, 2017-2020, index-derived), then Roche (Basel) as Technical Lead/Senior Data Scientist 2020-2023 and Global Product Owner GenAI Insights Platform 2023-present.2023
- Olympiad identity confirmed: imo-official.org lists Emma Hovhannisyan on the Armenia team at IMO 2007, rank 365, 8 points, Honourable Mention (P4=7). This is the external anchor for the name 'Emma Hovhannisyan, Armenia, IMO 2007'.Jul 2007
- Public-speaking footprint sits at the institute that trained her: invited UZH MAT959 seminar talk 'Recommender systems: Past and Future' (Nov 2023) and GenAI Zurich 2024 speaker as Roche Product Owner, showing the recommender/AI work at Roche is the current public identity rather than finance.Nov 9, 2023
- Co-author on probability papers: 'Mod-Gaussian convergence for random determinants and random characteristic polynomials' (arXiv:1707.00449, 2017) with M. Dal Borgo and A. Rouault, and work with F. Delbaen on local limit theorems - the academic record that corroborates the PhD and the mathematician identity.Jul 2017
Drives the development of a strategic GenAI-powered insights platform that transforms complex commercial and medical data into a single, actionable view. Focuses on high-value init
I led a team of Data Scientists in using the power of data and AI to improve customer engagement and experience. Recent advances in Recommender Systems and Natural Language Process
- Extensive usage of statistical inference and machine learning techniques in prediction and factor analysis of financial data in the context of stress testing. - Usage of neural n
Assisting several undergraduate and graduate math courses such as Advanced Topics in Probability, Functional Analysis, Algebra, Mathematical Statistics and Stochastic Processes. S
Teaching assistant of the courses Complex Analysis and Basic Group and Representation Theory.
Software Developer (C++, Objective C, iOS)
Competition record
Armenia · IMO