Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Agile
Data Engineering
Oracle @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
ING Hubs Poland is hiring for a Credit Risk Data Engineer position. The expected salary is 9,600–18,000 PLN per month. The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
Responsibilities
- Drive technical activities with the team and ensure that the engines run smoothly and comply with the latest policy updates.
- Liaise with Credit Risk Functional Analysts and modelers to ensure that functional requirements are properly implemented.
- Understand the complex Credit Risk Data Landscape, including credit risk models such as Probability of Default (PD), Exposure at Default (EAD), and Loss Given Default (LGD), as well as engines such as Definition of Default (DOD).
- Align priority and incident management by ensuring that incidents are properly logged and addressed, with appropriate communication to involved parties.
- Contribute to the implementation of the target tooling and data landscape by helping build 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 work with many teams within the bank.
- Work in a progressive and agile environment where new ideas are valued ahead of convention.
- Participate in challenging projects at the forefront of new regulations.
Requirements
- Experience working with Oracle Databases, SAS Data Integration Studio, and SAS Enterprise Guide.
- Strong interest in and understanding of data and systems, regulations, and technology, especially data lake architecture.
- Ability to communicate with both technical and non-technical audiences.
- Fluency in English.
- Curiosity, willingness to keep learning, and readiness to take on responsibility.
- Interest in the design of data marts is an advantage.
Team
The Credit Infrastructure team within Integrated Risk Management builds and maintains batch engines for the Risk domain. These engines compute rule-based parameters, such as definition of default and early warning signals, as well as model-based parameters such as Probability of Default (PD) and Loss Given Default (LGD).
The engines must comply with regulations because the computed parameters have a major impact on capital calculations, risk-weighted assets (RWA), and loan loss provisions (LLP). The team also maintains the data mart used for developing new models and acts as a vital link between the credit risk business and operational tribes such as data management.
The global ING job architecture naming convention for this role is "Data Scientist III".