CLO - Credit Analytics & Data - Data Analyst
Data: 16-gen-2023
Luogo: Milano, IT
Società: Intesa Sanpaolo Group
Intesa Sanpaolo is the banking group leader in Italy. Assisting more than 14,6 milion of retail customers through a network of 5360 branches, it significantly supports the development of Companies and gives an important sustain to the country's growth. The Group has a selected retail banking presence in Central and Eastern Europe, the Middle East and North Africa, with approximately 1,000 branches and 7.2 million customers in 12 countries. Intesa Sanpaolo is also present in 25 countries in support of its corporate customers’ cross-border business. It is looking for new qualify profiles who want to face demanding and challenging career path with the following requirements:
Scope and Purpose
The purpose of this application is to strengthen the team of management of ECB SSM Loan Tape inside the Credit Analytics & Data structure, in order to ensure the respect of milestones fixed by the regulator to produce the ECB Loan Tape and assure an high data quality level of the information provided. expelfac
Required experience
Experience on handling loans data in banks / loans servicers context is a must. Knowledge of regulatory reporting (i.e. Anacredit, ECB SSM Loan Tape) is a plus.
Competencies required
From a technical point of view, the ideal candidate has strong background with SQL Languages (preferably on MS SQL Server Platform, SAS is a plus), and can work autonomously to create, update and read data for the purpose of the Area. Knowledge of stored procedures, ETLs and scheduling tools in MS SQL Server is required. From the business side the candidate has a solid background on the issues related to loan management: from granting (i.e. granting instruments and processes, rating attribution), management of sub performing (i.e. proactive management or granting of forbearance measures) until the management non performing exposures.
Required qualifications, skills and knowledge
Preferably a quantitative profile with a bachelor degree; strong skills in the whole process of data management & data mining (gathering, classification/sorting, extraction/aggregation for feed the reporting or synthesis). Is appreciated a good knowledge of the issues about banking loan management.
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