We are looking for you, if you have:
An advanced degree (PhD or Masters) in a quantitative discipline, such as Data Science, Statistics, Mathematics, Physics, Econometrics, Quantitative Finance or related field, Knowledge of machine learning methods:
supervised and unsupervised learning, classification, regression, etc., Experience in development of credit risk models in a financial institution or related industry, Analytical skills with the ability to describe models, effectively articulate and document model’s structure, logic and results, Experience writing code in Python/SAS (or other statistical programming language as a plus), data processing and advanced visualization, Knowledge of credit risk management process, including application of credit risk models like e.G., credit decision scorecards, early warning systems, collection systems, IRB, IFRS9 etc., English verbal and writing proficiency. You'll get extra points for:
Knowledge of regulatory framework for credit risk management (IRB, IFRS9, etc.) and lending process, Experience in development of decision models for retail portfolios, Experience with the Agile way of working, Code versioning - git. Your responsibilities:
Perform development and periodical monitoring of credit decision models models across global ING business lines and locations, Ensure models are conceptually sound and appropriate, Ensure model compliance with regulations, internal policies and industry best practices, Collaborate closely with cross-functional teams including model validator, risk managers, and business stakeholders and promote best practices, Stay up-to-date with industry trends and regulatory guidelines, in particular related to advanced analytics models to be able to contribute to the continuous improvement of credit decision models. Information about the squad:
At ING Hubs Poland and ING group we follow the Agile approach and mindset. We use flexible frameworks like Scrum and Kanban at our everyday work. We are innovative and we trust people we work with. The broad autonomy our employees have, stimulates motivation and creativity what allows us to adapt to the changing requirements of business partners. Small units called squads are the core of our organization. They have clear vision of products, overcome challenges autonomously and based on team cooperation, work out the most flexible and effective way of working. You will work in the Credit Risk Modelling team, whose mission is to understand, implement, maintain and develop operational credit scoring models / credit decision models. You will also report and monitor them. As Credit Risk Modeler, you develop statistical models as a basis on which to evaluate the various credit risk parameters at the bank. You will work in a dynamic environment at the forefront of new developments in the field of credit risk management. The role naming convention in the global ING job architecture will be “Model Developer III”.