At a glance

At ABN AMRO, our strategy is to be a personal bank in the digital age. We offer a fully digital banking experience while at the same time strengthening personal contact with our clients. We are there for them at key moments in their lives.

We are seeking a Senior Data Modeler / Business Analyst for the Data Sourcing team in our product unit – Financing Solutions to support our ETL activities. The Financing Solutions (FS) product unit has end-to-end responsibility for delivering lending products to all client segments. It is like the engine room of lending and offers advice, monitors credit status and offers appropriate credit solutions. FS provides exposures of over one million euros of a credit advice.

We are seeking a dedicated and experienced Senior Data Modeler / Business Analyst to join Financing Solutions (FS) specifically focusing on Credit Data Sourcing, Integration and Distribution within the Data Management department. As a Senior Data Modeler / Business Analyst, you will play a pivotal role in shaping our credit data model. This position requires a deep understanding of data modelling, business analysis, and the lending/credit domain to enhance our lending operations.

As a Senior Data Modeler / Business Analyst, you will work together with other data professionals and collaborate with a range of business and IT partners in Financing Solutions to enable simple and efficient Credits Data distribution in our credits domain.  

Your job

Develop and maintain comprehensive data models, mapping credit data elements and flows to support lending decisions and regulatory compliance. You will also work closely with business stakeholders to understand credit data requirements and translate them into tangible data deliveries. 

Working environment

The data sourcing and distribution team is a part of a broader department named Credit & Collateral Data Management and Strategy which is responsible for data quality, data distribution and data analytics within Financing Solutions. This team consists of a data analysts and a data engineering team that work towards the delivery of the Credits Data Domain Store application. Together we work on data projects projects and solutions that benefit a variety of credit domain data consumers. We collaborate a lot and help each other with data challenges, we all are eager to learn and develop ourselves. We work hybrid, team members work at least one day per week from our headquarters in Amsterdam. 

Your profile

•    Collaborate with business stakeholders to gather and analyse credit data requirements, ensuring alignment with lending strategies. 
•    Create and maintain comprehensive data models, mapping credit data attributes and flows to support lending decisions and regulatory compliance.
•    Lead the design and optimization of data structures and databases for credit data storage and retrieval.
•    Work closely with DevOps engineers to provide requirements for the build of the data platform, implement and validate data models, ensuring data accuracy and availability.
•    Closely collaborate with the product owner and team to translate requirements into Product Backlog Items
•    Create and maintain documentation of data models, data lineage, and metadata for credit data.
•    Serve as a subject matter expert in credit data sourcing, integration, distribution, and utilization within the business lending context.

Education and experience
•    Bachelor's degree in Computer Science, Data Science, Finance, Econometrics or a related field. Master's degree is preferred. 
•    Proven experience in conceptual, logical and physical data modelling and business analysis, particularly within the banking sector and credit data domain. 
•    Proficiency in data modelling tools and techniques, including experience with data modelling software (such as Erwin and Enterprise Architect). 
•    Strong SQL skills for querying credit data.
•    Familiarity with regulatory requirements related to credit data is a plus.
•    General understanding of IT topics (through technical background or job experience).

Skills
•    Exceptional communication and interpersonal skills to collaborate effectively with cross-functional teams, especially within the context of credit data.
•    Analytical mindset to interpret complex credit data. 
•    Detail-oriented approach to data modelling and analysis.
•    Collaboration with cross-functional teams for credit data mapping and improvements.
•    Adaptability to evolving credit data requirements and industry changes.
•    Ethical judgment and responsibility when handling sensitive credit data.
•    Fluent in English, both verbal and written, and open to cultural differences.

The successful candidate should also have the ability to:
•    Enjoy solving complex data puzzles
•    Learn and willing to help each other
•    Motivate others, spread knowledge 

We are offering

•    Competitive salary, based on 36 hour work week. Grading in salary scale 10 
•    A personal development budget of € 1,000 per year
•    Freedom to get the most out of your talents, flexible working and room for development
•    An annual public transport season ticket, with which you can travel unlimited within the Netherlands
•    A great pension scheme at the best pension fund of the Netherlands (Pensioen Pro Award 2022)

Interested?

Apply for this role! For more information contact, Ernestine Umutoni, Head of Credit Data Distribution. Looking forward to meeting you!

Equal opportunities for all

The success of our organisation depends on the quality of our people and the ideas that they have. Truly surprising insights and innovative solutions for our clients result from an interplay of cultures, knowledge and experience. Diversity is therefore extremely important to our organisation. To ensure that everyone at ABN AMRO can develop their talents, we encourage an inclusive culture in which all colleagues feel engaged and appreciated.

Disclaimer external recruitment agencies

External recruitment agencies need to have a signed agreement with ABN AMRO BANK N.V., executed by a Talent Acquisition Specialist, when submitting a resume to a vacancy. No unsolicited services or offers, please.