Credit Risk Model Monitoring Expert

• have MSc in mathematics, econometrics, statistics or a similar quantitative field,
• have sound knowledge of statistical inference and econometric methods,
• have extensive knowledge of IRB and IFRS 9 models,
• have at least 5 years of experience with: development or monitoring or validation of IFRS9/IRB models, with programming (e.g. Python, SAS), databases, data modelling, data preparation and data quality control,
• have an ability to clearly and succinctly express ideas, facts and opinions,
• have an ability to identify problems, analyzing key information and making connections, in order to find appropriate solutions,
• complete tasks and achieves results in an efficient, timely and high-quality manner, with a focus on execution and delivery of targets and KPIs.

English level - C1.

• experience in being a sparring partner/advisor to Senior Management,
• knowledge of and experience with advanced statistical techniques,
• knowledge of AIRB/IFRS9 regulations,
• familiarity with version control systems (e.g. GIT),
• professional certification FRM/PRM/CFA or CQF,
• experience with databases, data preparation and data quality control.

• Monitoring of existing credit risk models,

• Share knowledge and expertise,

• Interact with stakeholders,

• Write reports/documentation.

A small, international team of risk modeling and monitoring enthusiasts. Works in an agile way to provide the state-of-the-art, robust solutions firmly embedded in the regulatory environment.

It's a group of open-minded people who enjoy breaking down complex problems in a way that makes them look easy and accessible.

The role naming convention in the global ING job architecture will be "Model Developer IV”.