Customer Journey Expert (Significant Risk Transfer Data)
Контакты
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Philippines
sqldata analysisdata qualitydata governancedata modellingdata reconciliationdata mappingwholesale bankingsignificant risk transfer
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Хорошая вакансия
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Чётко очерченная senior-роль в крупном международном банке связана с важными задачами по банковским данным, хотя в описании остались незаполненные шаблонные фрагменты.
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Недочёты в текстеПонятные задачиКрупный международный банкАктуальные задачи с даннымиГибкий формат работы
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Customer Journey Expert (Significant Risk Transfer Data): Designing and delivering trusted data foundations and models for Significant Risk Transfer within Wholesale Banking with an accent on data modelling, governance, lineage, and quality. Focus on translating complex business requirements into source-to-target mappings, integrating lending-platform data, and building auditable, scalable solutions for risk and capital management.
Location: Manila (One Ayala Tower 2), Philippines
Company
ING is an international banking group with approximately 65,000 employees and operations in around 40 countries.
What you will do
Design conceptual, logical, and physical data models for Significant Risk Transfer initiatives within Wholesale Banking.
Define business rules, data definitions, ownership structures, metadata, and decision logs.
Translate business requirements into data requirements and source-to-target mappings.
Analyze and integrate data across lending systems, establish lineage and reconciliation processes, and implement quality controls.
Perform data analysis and prototyping using SQL and analytical tools.
Collaborate with Risk, Finance, Capital Management, Data Management, Technology, and other stakeholders to support implementation, testing, and operationalization.
Requirements
Strong experience in data analysis and data modelling.
Advanced SQL skills, including 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, problem-solving, 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 and capital relief topics.
Experience in financial services, lending, credit risk, capital management, or regulatory reporting environments.
Culture & Benefits
International and multidisciplinary working environment.
Collaboration across global Lending, Risk, Finance, Capital & Models, Architecture, and Technology teams.
Opportunities to contribute to business-critical transformation and data-driven decision-making.
Focus on innovation, continuous improvement, and professional development.
Flexible working.
Hiring process
Submit the application through the ING careers site using Workday.
Applications should be submitted through official ING platforms.
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