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ING • Philippines
Role & seniority: Data Analyst (Credit Risk Model Data Delivery); mid-level responsibilities
Stack/tools: SAS and/or SQL; MS Excel, Word, PowerPoint; data/reporting tools; knowledge of data structures and software integration
Conduct data quality assessment and validation analyses for credit risk modelling and validation activities
Develop and maintain clear, high-quality reports and functional documentation describing methodologies, analysis, and findings
Communicate insights and recommendations to validation, modelling, and other stakeholders; contribute to knowledge management and process improvements
Data-savvy with advanced analytical skills
Proficiency in SAS and/or SQL; strong Excel/Office usage for reports and presentations
Ability to identify problems, analyze information, and translate findings into actionable insights
Independent, creative, proactive; strong collaboration across teams and geographies
Understanding of banking/credit risk concepts; experience with credit risk models (PD, LGD, EAD)
Knowledge of IRB and IFRS9 regulations
Extensive programming experience in SAS or similar languages; statistical modeling knowledge
Location & work type: Philippines (ING Hubs PH); full-time role (on-site/hybrid as per local arrangements)
Data Analyst (Credit Risk Model Data Delivery) Background on what ING is about (Generic ING background): ING Hubs Philippines (ING Hubs PH) is an international part of the ING organization delivering services to many Business Units across the world for both Wholesale Banking and Retail Banking activities. Working for ING Hubs PH means working with the most diverse workforce and where no challenge is the same. At ING our purpose is to empower people to stay a step ahead in life and business. We believe that sustainable progress is driven by people with imagination and determination to make a better future for themselves and those around them. ING is changing what banking is. For you, that means plenty of opportunities for personal growth in a continuously evolving environment. If this is the environment you thrive in, then apply and join us in changing the future of banking! We are looking for you if: You are data savvy with advanced analytical skills You are proficient in SAS and/or SQL programming You have experience in common office tools such as MS Excel, Word, and Powerpoint, and the ability to use them effectively for reports and presentations. You excel at identifying problems, analyzing key information to make connections and find appropriate solutions You are independent, creative and proactive with the ability to challenge the status quo when needed You deliver high-quality results efficiently and timely, with a focus on execution and achieving targets and KPIs You thrive in a collaborative environment and build effective working relationships with peers and stakeholders across teams and geographies You get extra points if: You understand how credit works in a bank You have experience in financial and/or credit risk You have experience with credit risk models (PD, LGD, EAD) You have knowledge of IRB and/or IFRS9 models and regulations You have knowledge of statistical tools and modelling techniques You have extensive programming experience in SAS or similar languages Your Responsibilities: Conduct data quality assessment and validation analyses supporting credit risk modelling and validation activities Understand data structures and software integration and identifying inconsistencies and incorrect data constructions. Develop and maintain clear, high-quality reports and functional documentation to describe methodologies, analysis and findings Review, enhance, and maintain functional documentation in alignment with both internal policies and external regulatory requirements Communicate insights, findings, and recommendations to validation, modelling, and other stakeholders Contribute to team knowledge management and continuous improvement through knowledge sharing and optimizing tools, processes, and ways of working Information about the team: We are looking for analytics and/or risk professionals to join the Data Model Validation Team under the Risk Data Tribe, a global team with members based in the Netherlands, Poland and the Philippines. We support the Credit Risk Modelling and Validation Teams by combining knowledge in risk modelling concepts, advanced data processing, and analytics capabilities. We assess methodologies, data preparation, and data quality to ensure models are robust, fit for purpose, and compliant with internal standards and regulatory requirements. Beyond our technical expertise, we work closely with a wide range of stakeholders across locations and functions, requiring strong collaboration and clear communication. Our team values collaborative team players who are curious, analytical, and able to translate complex technical findings into actionable insights for both technical and non-technical audiences. 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. Ready to join? We’ve got plenty of opportunities to match your skills and aspirations! Use the filters below the search bar – like location and job type – to help you find the perfect fit. Start exploring now and discover where your next career move could take you!