Data Analyst (Data Modelling)

ING Hubs B.V. Philippine Branch; Manila; On-site; PHP 600,000 - 900,000; Full time

Job summary

ING is seeking a Data Analyst to design, develop, and maintain the Significant Risk Transfer (SRT) data foundation within Wholesale Banking. You will bridge business requirements with technical solutions, ensuring data quality, lineage, governance, and traceability across lending platforms.

The role involves defining data ownership, translating requirements into mappings, and delivering auditable data solutions.

Qualifications

• Strong experience in data analysis and data modelling.
• Advanced SQL skills and experience with data mapping, reconciliation, and quality management.
• Knowledge of Wholesale Banking lending data environments.

Responsibilities

• Design, develop, and maintain the SRT data model end-to-end.
• Define business rules, data definitions, and ownership structures.
• Translate business requirements into data requirements and source-to-target mappings.
• Analyse and integrate data across Wholesale Banking lending systems (LoanIQ, GRID, Vortex).
• Establish data lineage, reconciliation processes, and quality controls.
• Perform data analysis and prototyping using SQL and analytic tools.
• Collaborate with Risk, Finance, Technology, and Data Management teams.
• Create and maintain documentation, metadata, and decision logs.
• Support implementation, testing, and operationalization of data solutions.

Skills

Data analysis

Data modelling

SQL

Data mapping

Data reconciliation

Stakeholder management

Communication skills

Regulated environments

Cross-functional collaboration

Analytical thinking

Tools

LoanIQ

GRID

Vortex

Job description

Data Analyst (Significant Risk Transfer)

Shape the Future of Wholesale Banking Through Data At ING, we're empowering people to stay a step ahead in life and business. As we continue our digital transformation journey, we're looking for an experienced Data Analyst to help build the data foundations that support one of the most critical and evolving areas within Wholesale Banking: Significant Risk Transfer (SRT). If you're passionate about turning complex business requirements into structured, trusted, and scalable data solutions, this could be your next career move.

Role Summary

The Data Analyst - Significant Risk Transfer (SRT) is responsible for designing, developing, and maintaining the data foundation that supports Significant Risk Transfer initiatives within Wholesale Banking. The role serves as a bridge between business and technology, translating complex business requirements into scalable data models while ensuring data quality, lineage, governance, and traceability across multiple lending and risk platforms. The successful candidate will work closely with stakeholders across Risk, Finance, Capital Management, Data Management, and Technology teams to deliver high-quality data solutions that support regulatory compliance, strategic decision-making, and operational excellence. This role requires strong analytical capabilities, data modelling expertise, and the ability to navigate complex banking data environments.

About the Team

The Significant Risk Transfer (SRT) Team is part of the Data Management & Platform Services (DMPS) area within the Lending Tribe. The team is responsible for establishing and managing the data capabilities that enable Significant Risk Transfer transactions and related risk management initiatives across Wholesale Banking. Working within an international and multidisciplinary environment, the team collaborates with experts across Lending, Risk, Finance, Capital & Models, Architecture, and Technology to build trusted, scalable, and future-ready data solutions. Through strong data governance, modelling, and analytical capabilities, the team supports strategic business objectives by enhancing risk management practices, optimizing capital usage, and delivering sustainable growth. As a member of the team, you will contribute to business-critical transformation initiatives, helping shape the future of data-driven decision-making within Wholesale Banking while working in a collaborative environment that values innovation, continuous improvement, and professional development.

What You'll Do

As a Data Analyst, you will take end-to-end ownership of the analytical design and delivery of the SRT data model. Key responsibilities include:

• Designing conceptual, logical, and physical data models for SRT.
• Defining business rules, data definitions, and ownership structures.
• Translating business requirements into data requirements and source-to-target mappings.
• Analyzing and integrating data across Wholesale Banking lending systems such as LoanIQ, GRID, and Vortex.
• Establishing data lineage, reconciliation processes, and quality controls.
• Performing data analysis and prototyping using SQL and analytical tools.
• Collaborating with cross-functional stakeholders across Risk, Finance, Technology, and Data Management.
• Creating and maintaining documentation, metadata, and decision logs.
• Supporting implementation, testing, and operationalization of data solutions.

What We're Looking For

Required Skills & Experience

• Strong experience in data analysis and data modelling.
• Advanced SQL skills and experience with data mapping, reconciliation, and quality management.
• Knowledge of Wholesale Banking lending data environments.
• Experience working with business and technology stakeholders across multiple functions.
• Strong analytical thinking and problem-solving abilities.
• Excellent stakeholder management and communication skills.
• Ability to operate effectively in evolving and complex environments.
• Significant experience delivering complex data analysis or data modelling initiatives in regulated or business-critical environments.

Nice to Have

• Experience with LoanIQ, GRID, and/or Vortex.
• Exposure to Significant Risk Transfer (SRT) and capital relief topics.
• Experience within financial services, lending, credit risk, capital management, or regulatory reporting environments.

What Success Looks Like

• Establishing a trusted and reusable SRT data model.
• Ensuring clear ownership, definitions, and traceability of critical data elements.
• Delivering data solutions that are accurate, explainable, auditable, and scalable.
• Creating alignment across a diverse stakeholder landscape.
• Bringing clarity to complexity while maintaining attention to detail.
• Continuously learning and contributing to the evolution of a growing capability within ING.

Why Join ING?

• Make a Real Impact undefined
• Work at the Forefront of Innovation undefined
• Collaborate Globally undefined
• Grow Your Career undefined
• Enjoy Flexible Working

Equal Opportunity

Don't meet 100% of the qualifications? Don't let that hold you back. Studies show some candidates apply only when they meet every requirement. If this role excites you and your experience is close to what we're looking for, we'd love to hear from you.

About ING

With 65,000 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?

We’re a global bank with a strong European base, and our more than 60,000 colleagues serve around 38 million customers and corporate clients in over 40 countries. Joining ING means working with friendly and collaborative people towards making a positive impact on people and planet. We believe in empowering the people around us and our customers to stay a step ahead. Working here means having the autonomy to drive progress, helping to create superior customer value and contributing to our ambition of putting sustainability at the heart of everything we do. Here, we’re more than just a workplace – we’re a community of innovators, problem-solvers, and forward-thinkers, dedicated to making a real impact. Whether you’re just starting your career or seeking the next big challenge, we have opportunities that will inspire and push you to grow. Your future at ING starts with one application.