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ING Hubs Romania • Viladecans, Catalonia, Spain
Role & seniority: Data Analyst, Credit Risk Model Data Delivery (mid-level)
Stack/tools: SAS and/or SQL; MS Excel/Word/PowerPoint; strong data quality, reporting, and documentation practices
Conduct data quality assessment and validation for credit risk modelling and validation activities
Develop, maintain and present high-quality reports and functional documentation of methodologies, analyses, and findings
Communicate insights to validation, modelling, and other stakeholders; support continuous improvement and knowledge sharing
Data analytics with advanced analytical capabilities
Proficiency in SAS and/or SQL; strong MS Office skills
Ability to identify problems, analyze information, and deliver high-quality results on time
Independent, proactive, collaborative, and able to work with stakeholders across geographies
Credit risk knowledge (banking) and familiarity with credit risk models (PD, LGD, EAD)
Knowledge of IRB and/or IFRS9 frameworks and regulations
Experience with statistical tools and modelling techniques; extensive SAS programming experience
Location & work type: ING Hubs PH, Philippines; full-time role (hybrid/onsite possibilities in PH depending on team setup)
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. Suntem o bancă globală cu o bază europeană puternică, iar cei peste 60.000 de colegi ai noștri deservesc aproximativ 38 de milioane de clienți și clienți corporativi în peste 40 de țări. Să lucrezi în ING înseamnă să fii înconjurat de oamenii energici, ambițioși, prietenoși și colaborativi pentru a avea un impact pozitiv asupra oamenilor și planetei. A lucra aici înseamnă a avea autonomia de a conduce progresul, a ajuta la crearea unei valori superioare pentru client și a contribui la ambiția noastră de a pune durabilitatea în centrul a tot ceea ce facem. Aici, suntem mai mult decât o companie - suntem o comunitate de inovatori, de oameni energetici și colaborativi, dedicați pentru a avea un impact real. Fie că abia îți începi cariera sau cauți următoarea mare provocare, avem oportunități care te vor inspira și te vor ajuta să te dezvolți. Viitorul tău la ING începe cu o singură aplicație. Ești gata să ni te alături? Avem o mulțime de oportunități care se potrivesc abilităților și aspirațiilor tale! Utilizează filtrele de sub bara de căutare - cum ar fi locația și tipul de rol - pentru a te ajuta să găsești potrivirea perfectă. Începe să explorezi acum și descoperă unde te-ar putea duce următoarea schimbarea în carieră!