# Customer Journey Expert at ING

ING is hiring a Customer Journey Expert. Level rates it Little AI ●○○○; you can [apply on ING](https://jobsbylevel.com/go/0f6c108e-e6fb-4617-990d-46e006b73240?utm_medium=ai-agent).

AI Level 1, AI centrality 20 out of 100. Manila (One Ayala Tower 2).

## Details

- Company: [ING](https://jobsbylevel.com/companies/ing)
- AI level: AI Level 1 (score 20 out of 100)
- Location: Manila (One Ayala Tower 2)
- Posted: October 23, 2026
- Apply: https://jobsbylevel.com/go/0f6c108e-e6fb-4617-990d-46e006b73240?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=customer-journey-expert-at-ing-c1a42c

## Prepare for this job

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## 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

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Source: https://jobsbylevel.com/jobs/customer-journey-expert-at-ing-c1a42c

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