Description
Our team focuses on combating fraud in retail risks. We work on reducing the time from the occurrence of a fraud event to its detection, identifying new fraud schemes, and increasing the efficiency of dealing with already known ones. We are looking for someone who will bring new ideas and quickly engage in solving ambitious tasks.
Responsibilities
- analysis of credit processes, searching for vulnerabilities, and identifying new fraud patterns
- implementation and refinement of ML models in the credit application approval process
- monitoring of the current portfolio and incoming flow to detect anomalies and suspicious activity
- creation and development of anti-fraud tools directly impacting the risk level of all the Bank's products
Requirements
- higher education in mathematics/engineering/finance
- work experience in data analytics/data science
- proficient knowledge of SQL/Excel
- work experience with Python/GreenPlum/Hadoop or willingness to learn quickly
- knowledge of ML model construction principles
- experience in writing test cases/technical specifications will be a plus
Conditions
- comfortable modern office near Kutuzovskaya metro station
- office-based work format
- annual salary review, quarterly and annual bonus (bonus is specified based on position and bonus system)
- corporate gym and relaxation areas
- more than 400 educational programs from SberUniversity for professional and career development
- adaptation program and manager assistance at the start (for Junior positions)
- extended voluntary health insurance, preferential family insurance, and corporate pension program
- mortgage rates up to 7% more favorable for every employee
- free SberPrime+ subscription, discounts on partner company products
- referral bonus for recommending friends to the Sber team.
