Credit Analytics and Modeling - Data Scientist

DenizBank

Requirements

·       Bachelor’s degree in engineering (computer, electrical and electronics, industrial), statistics, mathematics. Master’s and PhD degree in related subject areas are preferable.

·       At least 2 years experience in banking sector, especially Credit Risk departments (analytics or modeling)

·       Expert knowledge on SQL, MS office and at least one programing language (R, Python, SPSS Modeler)

·       Relevant project work experience in the areas of data science and machine learning

·       Excellent analytical skills and strategic thinking, creative problem solver capabilities

·       Strong data analysis, interpretation, data visualization skills and ability to communicate data insights

·       Excellent interpersonal skills; ability to work across virtual teams

·       Strong verbal and written communication skills in English

Role Description

·       Manage and improve the process of data collection, ingestion, manipulation, and display for risk related reporting processes

·       Develop and monitor risk based models (PD, LGD, EWS, credit risk acceptance criteria sets, limit optimization, etc.) by using machine learning algorithms for all business lines

·       Lead the planning, development, and delivery of analytic projects from start to finish; includes all stages of project identification, stakeholder engagement, project management, and closeout

·       Work closely and manage projects with several departments like IT, business, validation, etc.

·       Maintain proficiency within the data science domain by keeping up with technology and trend shifts.