WB Credit Risk Model Developer Expert
Warszawa (Zajęcza 4), Poland
Job Description
We are looking for you, if you:
- 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.
You'll get extra points for:
- 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.
Your responsibilities:
- Monitoring of existing credit risk models,
- Share knowledge and expertise,
- Interact with stakeholders,
- Write reports/documentation.
Information about the squad:
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”.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Credit risk Data quality Econometrics Git KPIs Mathematics Python SAS Statistics
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