Data Scientist-Credit Risk Modeling

We live by the CODE!

Join us if you love to collaborate for a strong team spirit, own your job and challenge yourself with the drive to perform with passion and be enterprising in your approach – thus living with the CODE - and have the following qualifications:

• 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 of experience in banking sector, especially Credit Risk departments,
• Expert knowledge on SQL, Python and MS Office,
• 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.

If the job description below suits you, we are expecting your application to Deniz, which is beyond innovation, technology and career!

• Develop risk based models (PD, LGD, CCF, EWS, etc.) by using machine learning algorithms for all business lines,
• Manage and improve the process of data collection, ingestion, manipulation, and display for risk related reporting processes,
• Participate in the planning, development, and delivery of analytic projects from start to finish including 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.

#youarethefuture

Thank you very much for your interest in Career Opportunities at Deniz. You can follow our corporate page and social media accounts for more information about our Bank and HR practices.

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