Risk Data Analyst

Key responsibilities:

Responsible for the quality of data used for reporting and modelling purposes
Development and implementation of retail approval models
Continuous monitoring and validation of performance of deployed models, providing recommendations, changes and enhancements
Analysis of data, improve design and implementation of required reports
Analyze client behaviour, present results and suggest actions to meet KPIs
Implementation of credit rules using query languages such as SQL and monitoring
Participation in defining and monitoring credit approval rules
Close cooperation with IT/BI on automatization of credit risk reporting
Supporting team in various tasks

For the good start you will need:

University degree from Faculty of Mathematics, Economics, Statistics or other relevant subject
Minimum 2 years of relevant working experience
Experience in using SQL, Python and/or R and similar
Experience in data manipulation, statistical analysis, and analytical problem solving
Knowledge of credit processes and business is a plus
Excellent knowledge of MS office
Fluency in English

You will enjoy: