Chief Economist at the Center for Analytical Technologies (MacroVision)

About the company

The team of the Center for Analytical Technologies (MacroVision), working at the intersection of product development and analytics preparation, is creating a flagship analytical terminal (datatracker.pro), as well as preparing bank-wide forecasts and analytics for the Bank's management using econometrics and machine learning.

Your tasks

• participate in the development of the information-analytical terminal in terms of defining the customer journey, creating new features and tools (including using ML and GenAI), and populating the terminal with analytics and data
• prepare bank-wide forecasts on the economy, markets, and industries regarding banking sector indicators, liquidity, its formation factors, budget, and money and debt market indicators
• prepare regular and ad-hoc analytics on macroeconomic topics for the management of the Treasury and the "Finance" Block, and automate processes for preparing regular analytics and forecasts (including using AI)
• conduct applied financial and economic research using econometrics and machine learning, and format the results into analytical reports with the possibility of presenting them to the bank's management and the external market via the terminal (under your authorship)
• participate in forming a database of macroeconomic/financial data in time series format for the information-analytical terminal

Requirements

We expect that You

• have higher education (economics / finance / physics and mathematics specialties)
• have an understanding of the real, financial, fiscal, external, and banking sectors of the economy, as well as the policies of the Central Bank and the Ministry of Finance. Experience in analyzing the budget, money and banking markets, and liquidity will be an advantage
• have knowledge of linear algebra, mathematical analysis, and statistical methods to understand the internal workings of data analysis tools, rather than just vibe-coding
• have at least 2 years of experience in a similar role
• have experience conducting research on cross-sections, time series, and panel data using Python (NumPy, pandas, SciPy, scikit-learn, statsmodels, matplotlib, seaborn, plotly) or R / MATLAB (having a portfolio of models will be an advantage)
• have experience in automating the layout of analytical reports and presentation materials using LaTeX, Markdown, Quarto
• have experience working with and applying AI technologies and multi-agent systems
• English language — Upper Intermediate
• additionally: knowledge of Jira, Confluence (or readiness to learn quickly)

Requirements General education; Experience: 5 years

What we offer

• comfortable modern office at ul. Vavilova 19
• annual salary review, annual bonus
• corporate gym and relaxation areas
• Sber's unique training system for professional and career development
• extended VHI and discounted insurance for your family
• flexible mortgage discount equal to 1/3 of the Central Bank key rate
• Prime subscription with the possibility of shared use among three close ones
• reward for recommending friends to the Sber team
• corporate pension program