- You have experience in Object Oriented Programming,
- You have experience in Clean Code, SOLID, design patterns, unit testing,
- You know Pandas, SciPy, NumPy, you know how to using them and know their weak points,
- You know the basic statistical issues and econometric methods - you know what the Gini coefficient and logistic regression are,
- You have experience with GIT,
- You have at least one year of experience in a similar position and at least 3 years of professional experience in programming in high-level languages (Python, Java, C#),
- You have the ability to work as a team member.
- Knowing Robert C. Martins books by heart,
- Knowledge of Pandas, SciPy, NumPy at an advanced level,
- Knowledge of statistical modeling and econometric methods,
- Experience in statistical programming in Python,
- Knowledge of the domain of credit risk modeling.
At ING Tech 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. The Financial Risk Model Development department is an international team of 80 highly qualified professionals. Our expertise lies in the development and management of credit risk, ALM and operational risk models. To further strengthen and develop the modelling capabilities, ING decided to setup Risk Hub Warsaw. The Risk Hub Warsaw model development team performs model development activities for models throughout ING, working closely together on international projects with the teams in Amsterdam. The developed credit risk models are core to the success of ING and include IRB and IFRS9 models (PD, LGD, EAD) for retail and wholesale portfolios, as well as non-regulatory models. The models are used by all local Risk Management (RM) units within ING. As a Python developer in credit risk modelling, you will be given the opportunity to gain further experience in credit risk modelling topics, extend state-of-the-art modelling methods, tooling and data processing technologies.
- contract of employment
type of contract - 9:00 - 17:00
work hours - Zajęcza 4, Warszawa
this is the location of our office
- professional development
- certificates and knowledge development
- training budget
- access to the newest technologies
- international projects
- free English courses
- provate medical care
- 50% funded Multisport Card
- bicycle parking
- chillout rooms
- integration events and Stay Fit program
- stability of employement
- fully equipped workstations
- kitchen