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Tester - Data Distribution



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Job Overview

COO Risk sits at the heart of the bank's complexity. We translate our complex banking business exposures into impacts on risk-weighted assets and provisions, aligning with constantly changing business demands and regulatory requirements. We engage in end-to-end transformation, including regulatory changes, constructing and maintaining risk applications, and managing daily operational activities. Our vision is to effectively implement necessary transformations and manage our daily processes to ensure timely and accurate reporting on credit risk, liquidity risk, market risk, and non-financial risk for our internal and external stakeholders.

Among the key teams under COO Risk is the Data Distribution Squad, part of the COO Risk Service Organization Tribe. This team is responsible for delivering unaltered calculated risk data to all internal and external consumers within ING for modeling, reporting, and dashboarding purposes. The team also supports the enhancement and maintenance of risk data distribution. Our overarching goal is to establish a more centralized approach to risk data delivery, streamline processes, and eliminate redundant requirements impacting Credit Risk, which involves close coordination with many tribes.

We offer a unique opportunity to join one of Europe’s most prestigious banks in a key position that enables you to contribute, collaborate, and grow!

Key Responsibilities:

  • Perform end-to-end testing activities on data distribution implementations in coordination with multiple teams across ING working towards production deployments.
  • Enhance data delivery testing process, ensuring more efficient way to test..
  • Foster connections among colleagues, topics, and expertise, maintaining continuous communication with all relevant testing and deployment teams.


Key Capabilities/Experience

  • Experience in SQL, Oracle PL/SQL, advanced Excel, Azure Data Factory, Azure DevOps, basic ETL concepts and Java.
  • Familiarity with agile tools such as Azure DevOps and Confluence.
  • Knowledge on test automation tools for such as Cucumber and other test automation tools for PL/SQL.
  • Data warehousing, data distribution/export workflows, advanced data analytics, and data processing/implementation.
  • Data Management Experience:
    • Familiar with data, advanced analytics, and data-driven products particularly in financial or credit risk.
    • Expertise in testing complex datasets from various sources.
    • Capability to identify and implement more efficient methods for testing.
  • Proficient in identifying problems, analyzing key information, and making connections to find appropriate solutions.
  • Vigilant in data analysis to ensure correct conclusions.
  • Genuine team player, achieving objectives through close collaboration with colleagues from diverse disciplines and backgrounds.
  • Good writing and communication skills with an ability to present topics clearly and succinctly to various audiences.
  • Exceptional coordination and project management skills.

Minimum Qualifications

  • Bachelor’s degree in technology or other related discipline.
  • 6+ years work experience with a proven track record as a Tester with Data Implementation experience.
  • 6+ years work experience in the financial sector, in either Business or Tech function.
  • Fluent in written and spoken English.
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In ING vogliamo che le persone possano dare il meglio di sé. Per questo, creiamo una cultura inclusiva dove tutti possono crescere e fare la differenza per i nostri clienti e la società. Promuoviamo sempre diversità, uguaglianza e inclusione. Non tolleriamo nessuna forma di discriminazione: per età, genere, identità di genere, cultura, esperienza, religione, razza, disabilità, responsabilità familiari, orientamento sessuale o altro. Se hai bisogno di supporto o un aiuto durante il processo di selezione o colloquio, contatta il reclutatore indicato nell'annuncio. Saremo felici di aiutarti per rendere tutto giusto e accessibile. Clicca qui per scoprire di più sul nostro impegno per diversità e inclusione.

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