Aktualne oferty pracy związane z Senior Data Scientist for Credit Risk Model Development - Warszawa, Mazovia - TN Poland
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Senior Data Scientist for Credit Risk Model Development
1 tydzień temu
Company Overview
We are a forward-thinking organization that is passionate about using data science to drive business growth. Our team of experts works closely together to develop innovative solutions that ensure the sustainability and stability of our credit risk models.
Job Description
- We are seeking a highly skilled Senior Machine Learning Credit Risk Model Developer to join our dynamic team in Warsaw. As a key member of our Risk Hub Model Development Area, you will be responsible for developing and monitoring advanced analytics non-regulatory models used by ING.
- You will have frequent collaborations with our colleagues around the world to provide them with relevant expertise in credit risk models and drive their lending business.
- Your goal will be to ensure sustainable credit risk model performance, bringing fresh ideas to life and embracing challenges in a fast-changing environment.
Required Skills and Qualifications
- An advanced degree in a quantitative discipline such as Computer Science, Data Science, Statistics, Mathematics, Physics, Econometrics, or Quantitative Finance.
- Excellent knowledge of classic machine learning methods including supervised and unsupervised learning, classification, regression, etc.
- Experience in validation or development of credit risk models in a financial institution or related industry.
- Analytical skills with the ability to describe models, articulate and document model structure, logic, and results.
- Proficiency in writing code in Python (R, SAS, or other statistical programming languages as a plus), data processing, and advanced visualization.
- Knowledge of credit risk management process, including application of credit risk models like credit decision scorecards, early warning systems, collection systems, IRB, IFRS9, etc.
- English verbal and writing proficiency.
- Familiarity with regulatory frameworks for credit risk management (IRB, IFRS9, and lending process).
- Experience with Agile working methodologies.
