Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Agile @ 2
Machine Learning @ 3
Python @ 3
R @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
ING Hubs Poland is hiring!
The expected salary for this position: 8 900 PLN.
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
Who you are
We are looking for you, if you:
- are eager to learn about Credit Risk Modelling and Climate/ESG risk applications in different kinds of financial risks
- are keen on researching various methods and acquiring knowledge from scientific papers and articles
- are pro-active and enjoy proposing new solutions
- are willing to take part in challenging projects focused on developing advanced credit risk models and innovative methods for estimating ESG/Climate risk levels
- have/pursue an academic degree in a quantitative field
- have sound knowledge of statistical and econometric methods and probability theory
- code in SAS/R/Python
- have some experience with databases, data preparation and data quality control
English level: B2/C1
You’ll get extra points for
- knowledge of basics of Credit Risk, ESG, Physical/Transition Climate risk
- knowledge of Machine Learning methods
- FRM/SCR certification or the interest in obtaining it
- ability to use version control systems
- familiarity with Agile/Scrum
Responsibilities
- researching modelling methods and data that could be utilised for credit, climate and ESG risk purposes
- analysing and choosing most efficient modelling decisions
- preparing codes that will estimate risk levels
- documenting performed analyses and interpreting their results
- assisting in preparation of learning sessions and materials for conferences
Information about the team
The Model Development department is responsible for the development of risk models at ING. Our teams, next to being center of excellence for credit risk regulatory and non-regulatory models, are engaging in ESG/Climate Risk innovative projects and initiatives.
In daily activities we follow the Agile approach and mindset and use Scrum. The broad autonomy our employees stimulate motivation and creativity, allowing us to adapt to the changing requirements of business partners.
The role naming convention in the global ING job architecture will be “ITP Trainee I”.