Yana is a junior analyst supporting the team with commodity-market research, data collection and the preparation of analytical and presentation materials.

She assists with risk-position dashboards and regular reporting and helps with ad-hoc research tasks. She is currently completing a Bachelor's degree at the Faculty of Economics, Lomonosov Moscow State University.

Education: Bachelor's degree, Faculty of Economics, Lomonosov Moscow State University (in progress).

Skills: SQL · Python · English B2 · commodity-market research · data collection and analysis · Excel · PowerPoint · preparation of analytical and presentation materials

Veronika is a Junior Associate specializing in financial modeling, DCF valuation, risk position dashboards, and ad-hoc research of commodity markets. She holds a Bachelor of Science in Economics at Lomonosov Moscow State University (GPA 4.8/5.0, group with increased academic load), with a research focus on monetary policy and financial stability.

She has applied quantitative modeling in competitive settings, including Markowitz portfolio optimization and ModelRisk-based investment forecasting, and was a prizewinner at the HSE Winter Economic School (2026).

Education: Bachelor of Science in Economics, Lomonosov Moscow State University, 2026 Advanced coursework in Econometrics, Time Series Models, Macroeconomics, Corporate Finance, Industrial Organization, and Game Theory. Summer school, Universitat Pompeu Fabra, Barcelona, 2025

Skills: R · Python · SQL · Excel · ModelRisk · English (Advanced)

Deniza is a Senior Associate with a strong background in financial analysis and business consulting. Before joining the team, she worked at a Big4, Mechel, and a leading FMCG company, where she developed expertise in financial modeling, forecasting, management reporting, and business analytics.

Drawing on experience across consulting and corporate finance, Deniza specializes in turning financial and operational data into meaningful insights that support strategic decision-making. Her analytical approach and attention to detail help clients tackle complex business challenges with confidence.

Education: Bachelor's in Economics, Higher School of Economics, 2022; Master's, Financial Markets and Institutions, Lomonosov Moscow State University, 2024.

Skills: financial analysis · financial control · econometrics · budgeting · English B2

Oleg is a development manager specialising in trading, risk and algorithmic-trading systems. At Rosbank, he led a microservice platform delivering FX market data (spot, forward, swap, options) for derivatives pricing and conversion operations. He owned the full delivery cycle: agile ceremonies, estimation, backlog management, team mentoring, and solution architecture design.

He actively embeds AI into engineering, delivering RAG pipelines, FX pricing services and FIX-FAST integrations with trading terminals. He led the migration from monolith to microservices and from Windows/MS SQL to Linux/PostgreSQL. Previously at Moscow Exchange and Gazprombank, he built trading platforms and automated risk-management systems covering market, interest-rate and credit risk.

Eucation: Master of Finance, Moscow State University, 2024–2026; Bachelor's in Economics, Financial University under the Government of the Russian Federation, 2020–2023; Bachelor's in Systems Engineering, MIREA, 2013–2018.

Skills: Development team leadership · delivery management · Agile · solution architecture · C# · Python · SQL · microservices · CI/CD · infrastructure migration · AI engineering — agents, RAG, tools, MCP, LLM and ML · English B2

Nikolai is an IT support and systems administration specialist. At Al Banyan Tree Research he manages and supports cloud infrastructure on DigitalOcean, containerises and orchestrates applications with Docker and Kubernetes, and ensures fault tolerance, backups and system security while optimising deployment processes.

At Eurasian Bank he administered employee workstations and the core SWIFT, Oracle BPM and SAP systems and kept the IT infrastructure running without interruption. Earlier, at the Federal Treasury for the Republic of Buryatia, he administered Microsoft Exchange, Active Directory, SQL Server, Avaya and Naumen and maintained server rooms. He was named the bank's best first and second-line support specialist of 2024.

Education: Bachelor's in Mathematical Software and Administration of Information Systems, Banzarov Buryat State University, 2014–2018.

Skills: Microsoft Exchange · Active Directory · SQL Server · Avaya · Naumen · Docker · Kubernetes · DigitalOcean · Ansible · Jenkins · Terraform · Linux · Python · HelpDesk · server hardware installation and monitoring · English — B1 Kazakh — A1

Artem is an NLP and LLM engineer with a strong mathematical foundation from the Lomonosov Moscow State University Faculty of Computational Mathematics and Cybernetics and a specialised master's in machine learning, with deep knowledge of NLP theory, transformers and attention mechanisms.

At Al Banyan Tree Research he develops RAG systems and LLM agents, building agentic pipelines on LangGraph with search, code-execution and browser tools, retrieval and observability. He also built a multi-agent deep-research system that pairs a planning agent with ReAct agents for autonomous web research. Earlier, as a Systems Analyst at GlowByte on a Sberbank project, he designed data models for analytical data marts and queried large banking datasets in SQL on Greenplum.

Education: Master's in Machine Learning, Central University, since 2025; Bachelor's in Operations Research, Lomonosov Moscow State University Faculty of Computational Mathematics and Cybernetics, 2021–2025.

Skills: Python · LangGraph · LangChain · RAG · LLM agents · ReAct · tool & function calling · prompt engineering · embeddings · semantic search · retrieval evaluation · transformers · attention mechanisms · FastAPI · Docker · Playwright · LangFuse · FAISS · Chroma · PostgreSQL · Greenplum · SQL · English (B1+)

Valentin is a Tech Lead and senior software developer with over seven years of experience building products from idea to production. At Al Banyan Tree he leads the architecture and infrastructure of several projects and built a full-stack platform spanning frontend, backend, authentication and data processing, with Kubernetes deployment and automated DevOps, standardising development and preparing the technical foundation to scale the product and the team.

At CraftTalk he built a business chat platform, including a video chat with screen-sharing from scratch on WebRTC and an MVP for an AI agent. Earlier, at Sharp Developers and Pushwoosh, he delivered web and mobile products across the fintech, CRM and investment domains, developing reusable interface components, frontend–backend integration and automated tests.

Education: Software development at the Institute of Mathematics and Informatics, Buryat State University.

Skills: TypeScript · JavaScript · React · Redux · Next.js · RTK Query · Tanstack · Node.js · Express · Python · FastAPI · Nest · PostgreSQL · MongoDB · REST API · Docker · Kubernetes · Linux · Git · English - B2

Ashotspecialises in the mathematics underpinning quantitative and risk models — stochastic processes, diffusion models, large-deviations theory, and the analysis of model behaviour under extreme scenarios.

He holds a PhD in Applied Mathematics and is a postdoctoral researcher at the Toulouse School of Economics with papers in leading probability journals. He also has practical experience building credit-risk models — PD, LGD and EAD — for a major bank.

Education: PhD in Applied Mathematics, Jean Monnet University; M.Sc. Stochastic Modelling & Actuarial Science, HSE.

Expertise: Stochastic processes · diffusion models · large deviations · risk modelling · Python · C++ · R · MATLAB · SQL

Vladimir specialises in quantitative risk management, econometrics and machine learning. His expertise spans credit risk, market risk and VaR, stress testing, Monte Carlo simulation, and the design and validation of risk models.

He combines hands-on quantitative modelling with an academic career as a professor of financial econometrics at ESADE, and has authored his own capital-structure risk model. He is MIT-trained in finance and data science and holds the CQF and PRM certifications.

Education: MIT MicroMasters in Finance and in Statistics & Data Science; M.Sc. Finance, UniversitatPompeuFabra.

Expertise: Risk modelling · VaR · credit risk · stress testing · Monte Carlo · Python · R · MATLAB· machine learning

Ilya has 7+ years of experience in investment and credit analysis across private markets and institutional ratings. He specialises in underwriting and structuring real-estate and private-credit transactions, financial modelling, downside and scenario analysis, and investment-committee decisions.

He was a primary credit analyst at S&P Global Ratings, building 70+ financial models and covering major real-estate and hospitality issuers, and is now Associate Director at a Dubai family office. He is a CFA charterholder with an M.Sc. from Bocconi and an HSE–LSE double degree.

Education: M.Sc. Finance, Bocconi University; B.Sc. Banking & Finance, HSE and LSE double degree.

Expertise: Financial modelling · DCF and valuation · credit risk · debt structuring · IRR and downside analysis

Dmitry is an enterprise risk management leader with 13 years of consulting and industry experience, including about four years in the GCC. He specialises in ERM framework design, risk appetite statements and KRIs, risk registers, and board-level risk reporting across the Middle East and Europe.

He has built ERM functions from the ground up at leading consultancies (PwC, KPMG, Arvon) and at a large metals-and-mining group, designing ERM frameworks, strategies and normative regulations, running risk-identification workshops and treatment-plan development, and preparing risk reports for C-level management. His quantitative work spans risk appetite statements, risk assessment matrices and KRIs, and methodologies such as EBITDA@Risk for commodity and mining companies, alongside company-wide risk-awareness training that embeds a risk-aware culture.

Education: Doctoral Program in Management, Graduate School of Management, St. Petersburg University, 2011–2015; Master's in Economics (top 10%), St. Petersburg Polytechnical University, 2008–2011; Master's & Bachelor's in Radio Engineering (top 10%), St. Petersburg Electrotechnical University "LETI", 2004–2010.

Skills: ERM strategy & framework design · risk appetite statements & KRIs · risk registers & mitigation planning · quantitative risk modeling · ISO 31000 / COSO ERM / FERMA · board & C-suite risk reporting · risk culture & training · ModelRisk · @RISK · Power BI · English (working proficiency)