Head of Analytics at the Center for Analytical Technologies (MacroVision)

The team of the Center for Analytical Technologies (MacroVision) works at the intersection of product development and analytics preparation. We create a flagship analytical terminal (datatracker.pro), and also prepare bank-wide forecasts and analytics for the Bank's management using econometrics and machine learning. Our mission is to provide market professionals with a tool that transforms massive complex datasets into clear strategies and forecasts.

What you will be doing:

• developing the terminal and client experience: Participating 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
• forecasting: preparing bank-wide forecasts on the economy, markets, and industries regarding banking sector indicators, liquidity, its formation factors, budget, and money and debt market indicators.
• analytical support for management: preparing regular and ad-hoc analytics on macroeconomic topics for the management of the Treasury and the "Finance" Block, automating processes for preparing regular analytics and forecasts (including using AI)
• research and presentations: conducting applied financial and economic research using econometrics and machine learning, formatting 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)
• data management: participating in the formation of a macroeconomic/financial data base in time series format for the information-analytical terminal

We expect that you:

• have a higher education degree (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 mathematical training: 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
• know English — Upper Intermediate
• have knowledge of Jira, Confluence (or readiness to learn them quickly)

What we offer:

• a comfortable modern office near Kutuzovskaya metro station
• annual salary review and an annual bonus
• a corporate gym and relaxation areas
• Sber's unique training system for professional and career development
• extended VHI (voluntary health insurance) and discounted insurance for your family
• a flexible mortgage discount equal to 1/3 of the Central Bank's key rate
• Prime subscription with the possibility of shared use among three close ones
• rewards for recommending friends to the Sber team
• a corporate pension program

Requirements

General education; Experience: 5 years