Senior Data Scientist (Credit Risk Modeling)

Öhdəliklər:

• Develop scoring models, updating application and behavior scoring models based on the latest advances in risk management technology
• Ensure compliance with the relevant regulations and are fit-for-purpose for use across the business
• Apply statistical and machine learning techniques
• Developing and calibrating credit risk models by applying Kapital Bank’s modelling standards
• Communicate findings and recommendations to stakeholders
• Work with other data professionals to build and maintain data pipelines and infrastructure

Tələblər:

• Master's degree in a related field, such as computer science, statistics, economics or mathematics
• 3+ years of experience in data science or a related field (previous experience in credit risk models is an advantage)
• Strong programming skills in Python, R, or another programming language
• Strong understanding of statistics and machine learning
• Experience with data mining, data visualization, and data storytelling
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team