October 09, 2026 • Moscow • PJSC Sberbank • IT: Data Science and Data Engineering
no experience required
Our team is developing the next generation of intelligent systems for risk analysis. Among our projects:
- development of NLP models based on LLM, creation of sota AI agents and multi-agent systems for operational and ESG risks
- creation of transformer-based models for solving banking problems on financial data; modeling of financial markets using machine learning
- development of classical ML models for the lending process, which are the core of Sberbank's business and a key profit driver.
And now our team is looking for talented interns in three areas: Data Scientist, LLM-researcher, and Quant-Risks in the Risk Modeling Department.
Responsibilities
- development of pricing models and risk metrics calculation for financial instruments, as well as approaches to market risk management
- development of advanced AI methods for finance: generative modeling of multimodal data (diffusion, VAE, LLM, etc.), reinforcement learning
- reviewing articles and devising new SoTA approaches for solving banking problems on financial data.
Requirements
- student status (Bachelor's/Master's) at the time of employment, education with a mathematical focus
- understanding of financial mathematics: knowledge in the field of probability theory and stochastic processes, mathematical statistics, and econometrics
- fluent in Python (NumPy, Pandas, PyTorch)
- basic knowledge of ML/DL
- knowledge of classical ML methods, Deep Learning
- knowledge of modern generative models / RL algorithms
- knowledge of LLM architecture and principles.
Conditions
- work format: office in Moscow, near Kutuzovskaya metro station.
- flexible schedule and possibility to combine with studies: 30 to 40 hours per week
- opportunity to engage in sports in one of the bank's gyms
- free SberPrime+ subscription, discounts on partner company products
- reward for referring friends to the Sberbank team.
