Description
We are a team that develops internal corporate tools to identify unlawful actions by employees during banking operations.
Our developments help create a comprehensive solution to combat fraudulent operations.
Responsibilities
- generating data extracts from internal banking systems upon request
- developing functions and data marts
- searching for and analyzing data sources within internal banking systems
- preparing implemented algorithms for deployment to production
- generating reports upon request from analysts.
Requirements
- strong knowledge of SQL (writing procedures, window functions, query optimization, working with large volumes of data)
- proficiency in Excel tools (pivot tables, references, arrays, data analysis toolpak, financial formulas)
- commercial development experience in one of the following DBMS (Oracle, PostgreSQL, MSSQL)
- Python at a junior+ level; must be able to obtain, consolidate, and process data from different databases; write automated solutions with scheduled runs; create dynamic reports. (pandas, sqlalchemy, pyodbc, openpyxl, apscheduler).
It would be great if you: Have experience with NoSQL (Hadoop).
Conditions
- office location: Nizhny Novgorod, 6 Kostina St.
- employment in accordance with the Labor Code of the Russian Federation
- working hours from 09:00 to 18:00
- stable salary and performance-based bonuses
- preferential lending terms
- voluntary health insurance for employees/relatives.
