Analyst in Treasury
Must-have:PythonDataAI
Machine translation — original language: Russian.Show original
The team is working on a project to implement customer behavior models and forecast risk metric calculations within the internal risk control and management system.
What you will be doing:
- performing customer functions (planning, resource allocation control, task setting, control at all stages of implementation, testing)
- interacting with IT and adjacent functional departments within cross-functional tasks
- participating as a technical expert in projects to create and automate analytical processes for interest rate risk management
- engaging in the optimization and support of actual risk metric value calculations
- engaging in the development of interactive reporting (BI)
- analyzing the interest rate risk profile forecast and developing an action plan for its management
- analyzing and evaluating the effects of implementing new regulatory requirements
What we expect from you:
- have a higher education in technical and/or financial fields
- have 4+ years of work experience
- have good SQL and python skills for data analysis (numpy/pandas)
- know ML libraries (sklearn/catboost) and are proficient with visualization libraries (matplotlib/seaborn)
- have a conversational level of English
- use neural networks in your daily work
What we offer:
- a comfortable modern office near Kutuzovskaya metro station
- 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
- a flexible mortgage discount equal to 1/3 of the CBR key rate
- Prime subscription with the possibility of shared use among three close relatives
- rewards for recommending friends to the Sber team
- corporate pension program
Requirements
General education; Experience: 4 years