# Data Analyst (Credit Risk) Source: https://realanalystjobs.com/job/data-analyst-credit-risk-ing-32108be1 Data Analyst (Credit Risk) at ING, based in Manila (One Ayala Tower 2). Posted on 13 November 2026, read from ING's own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [ING](https://realanalystjobs.com/companies/ing) - Location: Manila (One Ayala Tower 2) - Posted: Nov 13, 2026 - Employment type: Full time - Source: ING's careers page (Workday), re-checked daily Skills: [SQL](https://realanalystjobs.com/skills/sql) ## About this role Data Analyst (Credit Risk) Help Shape Better Decisions Through Data At ING, we believe data has the power to simplify complexity and help people stay a step ahead in life and business. We're looking for a Data Analyst (Credit Risk) who enjoys solving complex data challenges, uncovering insights, and helping drive better risk decisions across a global banking environment. If you're passionate about data, thrive in collaborative teams, and enjoy turning information into meaningful outcomes, we'd love to hear from you. Role Summary As a Data Analyst (Credit Risk), you will support credit risk model monitoring and validation activities through data analysis, data collection, and data quality management. You'll work with large and complex datasets from multiple source systems, transforming them into reliable data assets that enable risk modelling teams to assess model performance and support important business decisions. You'll collaborate with a diverse group of stakeholders across the bank while contributing to ING's global data management strategy and agile ways of working. About the Team You will join our Data Analytics team, a group of specialists supporting risk modelling and management reporting across Finance and Risk. Combining expertise in risk analytics, banking processes, and advanced data processing, the team plays a critical role in ensuring high-quality data is available for modelling, reporting, and decision-making. What You'll Be Doing • Analyze and translate credit risk model data requirements into effective data solutions • Develop and maintain SAS programs to support data collection activities • Identify, investigate, and resolve data quality issues • Create and maintain technical documentation for end-to-end data processes • Deliver high-quality data marts and datasets to model development and validation teams • Recommend and implement improvements to data collection and processing practices • Partner with stakeholders to understand evolving data and reporting needs What We're Looking For Required Skills • Degree in Mathematics, Statistics, Computer Science, Data Science, Information Management, or a related field • Experience in data analysis within banking, finance, or credit risk environments • Strong SQL skills • Strong SAS (4GL) programming skills • Ability to analyze complex datasets and draw meaningful conclusions • Strong problem-solving and communication skills • High attention to detail and commitment to data quality • Ability to manage priorities and deliver results in a fast-paced environment Preferred Skills • Understanding of banking credit processes • Experience with credit risk modelling concepts such as PD, LGD, EAD, IFRS9, IRB, and Definition of Default • Knowledge of bank balance sheets and financial reporting • Experience working in Agile/Scrum environments • Familiarity with Bash, Git/GitLab, Jenkins, and Confluence What We Offer • A collaborative and inclusive international environment • Opportunities to work on complex risk and analytics challenges • Continuous learning and professional development • Exposure to global stakeholders and banking processes • The chance to contribute to meaningful decisions that help customers and businesses move forward How to Apply Click the application button on our career site and submit your application through Workday. We look forward to learning more about you. Equal Opportunity Don't meet every single requirement? Apply anyway. Research shows that many talented candidates only apply when they meet all qualifications. If this role excites you, we'd love to hear from you. Job Application Safety Reminder We're seeing an increase in fraudulent job offers. To protect yourself, please follow these key guidelines when applying for roles at ING: • Apply only via official ING platforms. ING uses Workday as its internal recruitment system. • Check the sender's email carefully. Legitimate communication will only come from@ing.com and/or@myworkday.com. • ING will never ask for payments, banking details, or financial information during the recruitment process. 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? Then there is no better place to invest your talents than at ING. Join us. Apply today. Description from ING's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/data-analyst-credit-risk-ing-32108be1) and use Apply now there to reach the employer's application. The listing is re-checked against ING's careers page daily and removed when it closes. ## ING 39 open analyst roles on Real Analyst Jobs. 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