Credit Risk Data Engineer

ING Hubs Poland is hiring! The expected salary for this position: 9600 – 18000 PLN The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations. We are looking for you, if you have: Experience working in Oracle Databases, SAS Data Integration Studio and SAS Enterprise Guide. Strong interest and understanding for data and systems, and for regulation and technology especially the data lake architecture. Ability to communicate with both technical and non-technical audiences. Fluency in English is a must. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. You'll get extra points for: Interest in design of data marts is a plus. Your responsibilities: Driving the technical activities with the team and Ensuring the engines run smoothly and are compliant with the latest policy updates. Liaise with Credit Risk Functional Analysts and modelers and ensure that functional requirements are properly implemented. Understanding the complex Credit Risk Data Landscape regarding the credit risk models (PD, EAD and LGD) and Engines (DOD, etc.). Priority & Incident management alignment: ensure that incidents are properly logged and tackled, and that appropriate communication is given to involved parties. Contributing to the implementation of the target tooling and data landscape: help building seamless flows and efficient tooling for the Risk family and Business tribes. Play a key role in the digitalization of Risk. Contribute to a variety of projects and be in contact with many teams within the bank. Experience a progressive and agile way of working, where new ideas are valued ahead of convention. Challenging projects, at the forefront of the new regulations. Information about the Team: The Credit Infrastructure team within Integrated Risk Management is responsible for building and maintaining batch engines for the Risk domain. The batch engines compute parameters which can be rule based like definition of default, early warning signals as well as parameters based on models like probability of default (PD), Loss Given Default (LGD) . The Engines must be regulatory compliant as the computed parameters has a major impact on the capital calculation, risk weighted assets(RWA) and the loan loss provisions(LLP). The team also maintains the data mart responsible for the development of new models. The Team also acts as a vital link between credit risk business and the Operational tribes like data management. As part of the team, team members get an unique opportunity to contribute towards the overall digitalization of the risk domain. The role naming convention in the global ING job architecture will be "Data Scientist III". The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations. We’re a global bank with a strong European base, and our more than 60,000 colleagues serve around 38 million customers and corporate clients in over 40 countries. Joining ING means working with friendly and collaborative people towards making a positive impact on people and planet. We believe in empowering the people around us and our customers to stay a step ahead. Working here means having the autonomy to drive progress, helping to create superior customer value and contributing to our ambition of putting sustainability at the heart of everything we do. Here, we’re more than just a workplace – we’re a community of innovators, problem-solvers, and forward-thinkers, dedicated to making a real impact. Whether you’re just starting your career or seeking the next big challenge, we have opportunities that will inspire and push you to grow. Your future at ING starts with one application. Ready to join? We’ve got plenty of opportunities to match your skills and aspirations! Use the filters below the search bar – like location and job type – to help you find the perfect fit. Start exploring now and discover where your next career move could take you!