Credit Risk Stageur (SAS specialized)
Milano
Job DescriptionING has set the Ambition to become a data-driven organization with analytics as a business model.As Credit Risk stageur (SAS specialized), your primary responsibility will be to support the Credit Risk Area through ad hoc analysis, data extraction and reporting.We are looking for a candidate who is proficient in analysing and visualizing data using SAS, combined with a quantitative background.The resource will be part of the Data and Reporting team within the Retail Credit Risk Team that covers the full area of lending to Retail customers based on portfolio approach acting as second Line of Defense.
The responsibility of the team ranges from portfolio performance monitoring and reporting, risk cost and RWA optimization and forecasting. ING Bank Italy portfolio consists of Residential Mortgages, Credit Cards, Overdrafts, Personal Loans (PL) and Cessione del Quinto (CQS).
Key ResponsibilitiesSupport to Design, develop and maintain database structuresAutomate and enhance reporting and analytics and shorten the turnaround timeSupport data-driven strategic decisions on Retail propositions by analyzing, interpreting, elaborating data, visualizing and presenting resultsSupport the data reporting and analytics process with proper governance and documentation and keep the data quality at a defined satisfactory level.
Collaborate with other risk functions to identify business opportunities and improve system/process efficiency.RequirementsHold a degree in Statistics/Economics/Engineering or Computer SciencePreliminary experience in an analytics or data science Advanced knowledge of Data Science (SAS Base)Affinity with data and querying these data with SQL is a mustFluent in English As a plus:SAS Certified Advanced Programmer for SAS 9, is a plusKnowledge of credit risk and related regulationsKnowledge Database, Datawarehouse (Access, Oracle – SQL)Our preferred candidate is inquisitive and happiest exploring data, making discoveries and understanding their implicationsself-starter mindset, proactively identifying issues and opportunities and tackling them without being told to do sodelighted in automating processes, building datasets and analyzing data to support business and risk decisionsproactive in managing daily task and personal targetsa strong and enthusiastic team player to whom colleagues can rely onLocation: Milan (hybrid) About INGThe benefits of joining INGIn addition to being a part of a great team, working in a fun and innovative environment, we offer: Super flexible smart workingCompetitive base salaries and performance based bonusesDiverse cultures & Innovative mindsetsInternational EnvironmentCommitment to sustainabilityLots of training development opportunities to help you growLots of moments dedicated to physical and mental well-beingA special day off when it is your birthday: we call it #doyourbirthday!And of course we can’t forget: free water & coffee at the office!
Our CommitmentDiversity is a fundamental element of our corporate culture, and we are fully committed to creating a safe and inclusive environment, based on mutual respect and the value of diversity, offering equal job opportunities to all qualified candidates.
The responsibility of the team ranges from portfolio performance monitoring and reporting, risk cost and RWA optimization and forecasting. ING Bank Italy portfolio consists of Residential Mortgages, Credit Cards, Overdrafts, Personal Loans (PL) and Cessione del Quinto (CQS).
Key ResponsibilitiesSupport to Design, develop and maintain database structuresAutomate and enhance reporting and analytics and shorten the turnaround timeSupport data-driven strategic decisions on Retail propositions by analyzing, interpreting, elaborating data, visualizing and presenting resultsSupport the data reporting and analytics process with proper governance and documentation and keep the data quality at a defined satisfactory level.
Collaborate with other risk functions to identify business opportunities and improve system/process efficiency.RequirementsHold a degree in Statistics/Economics/Engineering or Computer SciencePreliminary experience in an analytics or data science Advanced knowledge of Data Science (SAS Base)Affinity with data and querying these data with SQL is a mustFluent in English As a plus:SAS Certified Advanced Programmer for SAS 9, is a plusKnowledge of credit risk and related regulationsKnowledge Database, Datawarehouse (Access, Oracle – SQL)Our preferred candidate is inquisitive and happiest exploring data, making discoveries and understanding their implicationsself-starter mindset, proactively identifying issues and opportunities and tackling them without being told to do sodelighted in automating processes, building datasets and analyzing data to support business and risk decisionsproactive in managing daily task and personal targetsa strong and enthusiastic team player to whom colleagues can rely onLocation: Milan (hybrid) About INGThe benefits of joining INGIn addition to being a part of a great team, working in a fun and innovative environment, we offer: Super flexible smart workingCompetitive base salaries and performance based bonusesDiverse cultures & Innovative mindsetsInternational EnvironmentCommitment to sustainabilityLots of training development opportunities to help you growLots of moments dedicated to physical and mental well-beingA special day off when it is your birthday: we call it #doyourbirthday!And of course we can’t forget: free water & coffee at the office!
Our CommitmentDiversity is a fundamental element of our corporate culture, and we are fully committed to creating a safe and inclusive environment, based on mutual respect and the value of diversity, offering equal job opportunities to all qualified candidates.
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