Data Analyst / Data Modeller

Background on what ING is about:

ING Hubs Philippines (ING Hubs PH) is an international part of the ING organization delivering services to many Business Units across the world for both Wholesale Banking and Retail Banking activities. Working for ING Hubs PH means working with the most diverse workforce and where no challenge is the same.

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 people with the imagination and determination to make a better future for themselves and those around them.

ING is changing what banking is. For you, that means plenty of opportunities for personal growth in a continuously evolving environment. If this is the environment you thrive in, then apply and join us in changing the future of banking!

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.

Why ING?

• Innovative Environment: Be part of a forward-thinking team that embraces cutting-edge technologies and methodologies. We foster a culture of continuous learning and experimentation, ensuring you stay ahead in the ever-evolving data landscape.
• Impactful Work: Your models will directly influence key business decisions, helping us better understand our customers and improve their banking experience. At ING, your work truly matters.
• Collaborative Culture: Work alongside talented professionals from diverse backgrounds in a collaborative and inclusive environment. We value teamwork and believe that the best solutions come from combining different perspectives.
• Career Growth: ING is redefining banking. For you, this means ample opportunities for personal growth in a continuously evolving environment.
• Work-Life Balance: We understand the importance of balance and offer hybrid working arrangements (1-2 weekly office days) to help you maintain a healthy work-life balance. Your well-being is our priority.
• International Work: ING Hubs Philippines (ING Hubs PH) is an integral part of the ING organization, delivering services to many Business Units worldwide for both Wholesale Banking and Retail Banking activities. Working for ING Hubs PH means engaging with a diverse workforce where no challenge is the same.

If you are passionate about data and eager to make a difference in the financial industry, ING is the place for you. Apply now and be part of a team that is shaping the future of banking through data.

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 Overview

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.
• This is a plus:
  • Proficiency in LoanIQ
  • Experience in the banking domain.
  • Skills to communicate complex ideas effectively.
  • Attitude to thrive in the ING “way of working” (e.g., Agile, small iterations).

Minimum Qualifications

• 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.
  • For a Senior role: 5+ years of work experience in a data-related position within a banking team, working with business and technical experts.
• 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.