Description
Our area of expertise includes the creation, testing, and deployment into the production environment of models for the business with corporate clients and financial institutions of Sber's Global Markets Department.
We help internal and external clients increase profitability, create an information platform, conduct financial market analysis, work with various data formats, including text analytics.
Responsibilities
- data exploration using state-of-the-art (SOTA) approaches
- development of machine learning models in the field of NLP and NER
- automation and optimization of the sales process for global market instruments
- performing fine-tuning of LLMs
- implementation of RAGs based on Bank data
- development of the platform for using and developing LLMs
- integration of LLMs into the division's business processes
- integration of APIs, services, building model pipelines.
Requirements
- strong mathematical background - mathematical analysis, linear algebra, probability theory
- experience in the financial sector, fintech, or data analysis (3+ years) is preferred
- detailed understanding of machine learning models and algorithms
- project management experience and interaction with related teams
- deep understanding of financial market instruments is an additional advantage
- strong proficiency in Python
- experience in developing NLP models or computational linguistics
- instrumental proficiency in AI for analysis, generation, and automation.
Conditions
- work format - office (Leninsky Prospekt metro station)
- annual salary review and annual bonus
- corporate gym and recreation areas
- more than 400 educational programs from SberUniversity for professional and career development
- flexible discount on mortgage loans, equal to 1/3 of the Central Bank's key rate
- extended VHI, preferential insurance for family, and corporate pension program
- free SberPrime+ subscription, discounts on partner company products
- referral bonus for recommending friends to Sber's team.
