Risk Data Science Analyst
ING
Bucuresti
17 zile în urmă

Discover ING Bank ING is a frontrunner in the transformation of banking and a company that puts technology at its heart.

At ING, we believe all sustainable progress is driven by people with the imagination and determination to improve their future and the futures of those around them.

We empower people and organizations to realize their own vision for a better future. Join us! Together we can build the next generation of digital banking! Mission : Mainly responsible with credit risk data management, portfolio analytics and support for model development & monitoring. Your day to day :

  • Ensure data integrity & management, including data extraction, processing and validation, as key preparation stage for credit risk analytics;
  • Conduct recurrent and ad-hoc portfolio analysis to identify good risk segments as well as high risk concentrations for optimal measures to be taken in each category;
  • Support for model development, monitoring and implementation processes;
  • Support initiatives according to the bank’s strategy by performing client segmentation for various analysis of credit / customer data and behavior (including transactional) ;
  • Ensure the reusability of scripts / proceedings to allow quicker and reliable delivery of information in the future;
  • Work in close cooperation with related departments, including other units within Risk Management, IT, Business, in order to monitor and ensure relevant, efficient (timely and with maximum automation / standardization) and accurate (correct and complete) processing of credit risk related analytics;
  • Ensure Data Quality compliance, by performing reconciliations across systems, instruct data corrections and follow up on resolution;
  • Cover other accountabilities and specific tasks delegated by the Department as justified by business needs;
  • Carry out all job tasks in accordance with all applicable internal and / or law requirements, rules and regulations.
  • What you bring to the team :

  • Relevant statistical and data management knowledge
  • Experience in using SAS and Microsoft SQL
  • Ability to use and process large databases, to develop reports and statistics; use mathematical tools and quantitative analytics in order to assess credit portfolios
  • Ability to use presentations and related tools (graphs, charts, tables etc.) in order to present data in a clear and concise way to support conclusions
  • Knowledge of lending market developments and influencing factors, good understanding of banking rules and regulations
  • Fluent in English, both written and verbally
  • Solid analytical, problem-solving and interpersonal skills, superior attention to detail
  • Personal competencies : ambition and energy, ability to deliver under tight deadlines, initiative, decisiveness, discipline, adaptability
  • Keen on learning and developing within a credit risk environment.
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