Business Analyst for Risk Data Solutions
ING Hubs Poland is hiring!
We are looking for you, if you:
- you are an enthusiastic and energetic professional with a passion for data management in a banking context,
- have university (Bachelor’s/Master’s) degree in (business) economics or a comparable field,
- have experience within data management and analyzing large data sets and data quality,
- have hands on proficient level of experience on SQL and MS Excel,
- have knowledge in Credit Risk and/or Market Risk domain including regulatory reporting,
- have understanding of Data Modelling being able to interpret logical and conceptual data models,
- have strong requirements management skills,
- have multicultural mind-set and a highly customer-focused outlook,
- have a strong drive to keep your expertise up to date and have the ambition to continuously improve yourself on a personal and professional level,
- you are very analytical and take decisions based on data and facts,
- you are a strong communicator and can present your work in a clear manner,
- you are a team player focused on cooperation and sharing knowledge.
You'll get extra points for:
- experience in Agile environment,
- working with SAS experience,
- retail banking products knowledge including financial reporting perspective.
English level: C1
Your responsibilities:
- be involved in Change & Run bank’s data management activities,
- collect & write the detailed business data quality requirements,
- implement or support implementation of the Data Quality Rules,
- create and maintain detailed reports and dashboards using BI Tools,
- read and understand regulatory requirements,
- support the Data Engineers in creating tools used in data quality monitoring,
- report on the progress and communicate the dependencies and impediments to stakeholders,
- contribute to existing principles, standards, guidelines and way of working to continuously improve them,
- support gathering evidence that the process meets Data Management Process Control Standards,
- support the development and configuration of the solution.
Information about the squad:
You will be part of the Risk Data Tribe within which is part of COO Risk. The position is placed in Risk Hub – a business unit which main aim is to shape the future of risk modelling and data analysis in Poland. We are also part of global, cross-location tribe Risk Data and we work with colleagues in Amsterdam, Warsaw and Manila. The Risk Data provides correct and harmonized data for its processing and to enable the change from report-driven to data-driven, while also enabling department to manage its end-to-end data flow in a structured and standardized way.
You will play a role of Business Analyst, closely cooperating with other experts with similar position and engineers implementing data solutions. Your work will focus on data management, data requirements, data definition & mapping, data quality and data remediation for business related background topics.
The role naming convention in the global ING job architecture will be “Data Management Expert III”.
Questions? Just ask
ING Recruitment team
Chez ING, nous voulons libérer tout le potential de nos collaborateurs, grâce notamment à une culture inclusive où tout le monde peut se développer et avoir un impact sur nos clients et sur la société. Nous veillons à ce que la diversité, l'équité et l'inclusion soient prioritaires. En tant qu'employeur souscrivant au principe de l'égalité des chances, nous ne tolérons aucune forme de discrimination, qu’elle soit liée à l'âge, au sexe, à l'identité sexuelle, à l'origine culturelle, à l'expérience, à la religion, à la race, à l'origine ethnique, au handicap, aux responsabilités familiales, à l'orientation sexuelle, à l'origine sociale ou à tout autre statut protégé par la législation. Si vous avez besoin d'aide lors du processus de candidature et/ou d'entretien, veuillez contacter le (la) recruteur(se) du poste concerné. Nous serons heureux de vous accompagner pour garantir un processus équitable et accessible. Apprenez-en plus sur notre engagement en faveur de la diversité, de l’inclusion et de l’appartenance.
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