Data Scientist-Credit Risk Modeling

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.

Job Description

• 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.

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