Data Modeler @ING Hubs Romania

Discover ING Hubs Romania
ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of over 2000 high-performing engineers, risk, and operations professionals.
We started out in 2015 as ING’s software development hub, then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and operate from Bucharest.
Our tech capabilities remain the core of our business, with more than 1800 colleagues active in Data and Analytics Tech, Tech Foundation and Channels, Retail Core Banking and Architecture, and Global Products and Technology Services.
We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged.
For us, impact isn't a perk. It's the driver of our work. We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?
Here’s a sneak peak of what our colleagues say about working within ING Hubs Romania:
At ING, we're building the solutions of tomorrow, today | 80% of our colleagues in Romania agree
The Mission
The Risk Data Tribe provides correct and harmonized data for its processing and to enable the change from report-driven to data-driven, while also enabling department to manage its end-to-end data flow in a structured and standardized way.
We are looking for a committed data believer who is willing to help us lead ING towards that data-driven future. Do you understand that data helps build top notch models and ensures proper reporting to regulators? Then we are looking for you!
Your day to day
You will play a key role in ING's strategic Retail Risk Data Automation program. You will work closely with local business units, data consumers, and IT teams across multiple countries to transform manual and fragmented data sourcing processes into standardized and automated Analytical Base Table (ABT) solutions.
You will be responsible for understanding local data landscapes, identifying source systems and data flows, defining requirements, and supporting the implementation of scalable data solutions that enable efficient and compliant risk model development and reporting.
Analyze and document existing Retail Risk data sourcing processes across local ING entities.
Collaborate with local stakeholders to understand data requirements for Risk Analytical Base Tables (ABTs).
Identify and assess source systems, data providers, interfaces, and dependencies.
Document, and prioritize business, functional, and data requirements.
Define target-state data flows and support the design of automated data integration solutions.
Have a customer focus, where you build strong customer relationships and deliver customer-centric solutions.
Look ahead, you show a strategic mindset, and you find future opportunities which you can translate into concrete strategies.
What you’ll bring to the team
Mandatory:
Have extensive experience in Data Management and knowledge of Data Solutions (E.g. Data Warehousing, Data Catalogue, Data Modelling, Data Lineage),
Experience in creating reporting cockpits, dashboards, and visual performance indicators using data analytics and visualization tools to support business monitoring and decision-making.
Experience as a Business Analyst, Data Analyst, Functional Analyst or similar role.
Strong analytical mindset and ability to understand complex data ecosystems.
Experience gathering and documenting business and data requirements.
Understanding of data lineage, data mapping, and source-to-target transformations.
Have experience in credit risk domain.
Able to proactively and independently identify problems, analyze key information and make connections, in order to bring solutions to senior management.
Familiar with Agile environment, and you know how to make it a real part of your job.
Have excellent communication skills, written and verbal in English (C1).
Experience working with multiple stakeholders across business and technology domains.
Strong facilitation skills.
Nice to have
Experience in credit risk reporting, knowledge of Probability of Default, Loss Given Default, Exposure at Default concepts.
Understanding of BCBS239, data governance, and data quality principles.
SAS and SQL.
Education: master or bachelor’s degree (IT, Engineering, Mathematics or Economics/Business)
If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it, read the privacy notices on our website (make sure to scroll until you reach the Data Protection section/ Candidates tab).