Data Modeller

Join ING as a Data Modeller: Empowering Financial Innovation Through Data

At ING, our purpose is to empower people to stay a step ahead in life and business. We believe that sustainable progress is driven by individuals with the imagination and determination to create a better future for themselves and those around them. As a Data Modeller, you will be at the heart of our mission, transforming complex data into actionable insights that shape our strategies and enhance our services.

The Lending Tribe

The Lending Tribe is part of ING Wholesale Banking Lending. Our goal is to become the best Wholesale Bank in Europe by 2026. WB Lending is one of ING’s main business lines, offering a suite of Lending products and services to WB customers. As Tribe Lending, we embarked on a Digital Transformation Journey three years ago to improve our customer and employee experience and digitize our processes to stay competitive and remain regulatory compliant.

Job profile

As a Data Modeller in the Lending Tribe, you will find your home base in the Data Modeller Center of Expertise. From there, you will serve a squad in one of the dedicated product areas or expertise centers, addressing their data modeling needs.

Data Modellers are responsible for designing, developing, and maintaining data models in relational databases and unstructured forms to enable innovative problem-solving, insights, behavior models, and communicating how those findings support improvements in decision-making, reliability, customer experience, profitability, etc.

Key Responsibilities

Data Modeling and Collaboration:

• Act as a bridge between analytics and IT teams, bringing a data-driven perspective to the business.
• Leverage data modeling skills to create data models that would serve the Data Engineers to build new databases.

Reporting and Automation:

• Produce data models using SQL, and other tools.
• Develop and automate tables serving as a base for regular updates (weekly, monthly, quarterly, and annually).

Data Structure and Applications:

• Design and enhance data structures to ensure accuracy and integrity.
• Modify applications to extract relevant information from company databases.

Industry Interaction:

• Collaborate with data analysts, data scientists, and industry experts.
• Understand how data should be transformed, loaded, and presented.
• Mentoring and Innovation (Senior Candidates):
• Mentor junior colleagues.
• Collaborate with different teams to define new data modeling use cases.
• Additional activities (Senior Candidates):
• Identify new opportunities to improve the domain critical key performance indicators.
• Act as a data subject matter expert for designated product space/area.
• Engage with business users and product owners, understand problem statement, and then develop a customer-driven solution.
• Research and analyze best-in-class industry solutions to design data-driven digital strategies for the bank.

Key Capabilities/Experience

• Experience in analytical work with large datasets and relational databases (SQL).
• Experience with data preparation (e.g., mapping) and data modeling/analysis (e.g., Entity-Relationship Model).
• Ability to work collaboratively with data engineers and scientists.
• Ability to work effectively in a team environment.

Education/Work Experience

• Bachelor’s degree in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or a related field. An advanced degree (e.g., Master, PhD) or a strong academic record with advanced coursework in Math, Statistics, or data management is a strong plus.
• 2+ years of work experience in a data-related position.

Skills

• Proficiency in SQL and relational databases.
• Advanced knowledge of data analysis, statistical techniques, and data mining.
• Proficiency in PowerBI or Cognos is a plus.

Rewards & benefits 

We want to make sure that it’s possible for you to strike the right balance between your career and your private life. You can find out more about our employment conditions here.  

The benefits of working with us at ING include: 

• A salary indication of 5.212 - 8.387 EUR based on 36 hours per week, tailored to your qualities and experience in global job grade 17
• 36 or 40 hour workweek
• 12-month contract with view to extend
• Individual leave: 24+2 individual holiday days based on 36 hr workweek
• Diversity leave: 3 days per year (1,5 paid, 1,5 unpaid)
• CSR days: up to 2 days per year to actively engage in society by volunteering
• 13th month salary
• 8% Holiday payment
• Individual Savings Contribution (BIS), 3.5% of your gross annual salary
• Mobility card
• Attractive pension scheme
• Hybrid working to blend home working for focus and office working for collaboration and co-creation

About us 

With 60,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us and apply today!