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Credit Risk Data Engineer

Warszawa, Polska
Salary to be agreed
Full-time • On-site • Finance, Accounting & Law

Key offer highlights

  • Full-time

  • On-site work - no remote option

Description

ING Hubs Poland is hiring!

Nr ref.

  • REQ-10119894

Spółka

  • ING Hubs

Kategoria

  • Data Science

Lokalizacja

  • Warsaw, Poland

Data publikacji

  • 13.08.2026

Poziom stanowiska

  • Professional

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.

You'll get extra points for

  • Interest in design of data marts is a plus.

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.

This offer was imported from an external portal.Listing source

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