Intern in the Sber Financial Markets Modeling and Risk Management Department. Development of pricing models and application of AI methods for finance.
Responsibilities:
- Development of pricing models and risk metrics calculation for financial instruments
- Development of advanced AI methods for finance: generative modeling of multimodal data (diffusion, VAE, LLM, etc.), reinforcement learning
- Combination of fundamental research with practical tasks of Sber
Requirements:
- Full-time student
- Student of a Russian university
- Year of study: 2-6 year of Bachelor's/Specialist degree or 1-2 year of Master's degree or graduated Bachelor's/Master's in 2026
- Place of residence: Moscow or Balashikha, Vidnoye, Dzerzhinsky, Dolgoprudny, Domodedovo, Zhukovsky, Ivanteevka, Korolyov, Kotelniki, Krasnogorsk, Lobnya, Lytkarino, Lyubertsy, Mytishchi, Odintsovo, Podolsk, Pushkino, Ramenskoye, Reutov, Khimki, Shchyolkovo, Troitsk
- Work schedule: 40 hours per week, full-time format
- Proficient in Python
- Knowledge of SQL
- Good understanding of mathematical statistics
Conditions:
- Paid internship
- Internship duration: 3 months
- Work schedule: at least 20 hours
- Office format
- Comfortable modern office
Skills:
- Python
- SQL
- Git
- NLP
- Mathematical statistics
