Customer Journey Expert

ING Bank Personeel; Makati; On-site; PHP 800,000 - 1,600,000; Full time

Job summary

ING Bank Personeel is seeking a Data Analyst to design, develop, and maintain the data foundation for Significant Risk Transfer (SRT) within Wholesale Banking. The role bridges business and technology, turning complex requirements into scalable data models with governance and traceability across lending and risk platforms.

The successful candidate will work with Risk, Finance, Capital Management, Data Management, and Technology teams to deliver high-quality data solutions supporting regulatory

Qualifications

• Strong experience in data analysis and data modelling.
• Advanced SQL skills and data mapping, reconciliation, and quality management.
• Knowledge of Wholesale Banking lending data environments.
• Experience delivering complex data analysis or data modelling initiatives in regulated or business-critical environments.

Responsibilities

• Designing conceptual, logical, and physical data models for SRT.
• 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.

Skills

Data analysis

Data modelling

Advanced SQL

Stakeholder management

Communication skills

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

In this role, success means:

• 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
• Work at the Forefront of Innovation
• Collaborate Globally
• Grow Your Career
• Enjoy Flexib