Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Python @ 3
R @ 3
Machine Learning @ 3
Hiring @ 3
Agile @ 2
- 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: 6 100 - 8 900 PLN
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
We are looking for you if you:
- are eager to learn about Credit Risk Modelling, Climate/ESG risk applications in different kinds of financial risk
- are keen on researching various methods, acquiring knowledge from scientific papers and articles
- are pro-active, enjoy proposing new solutions
- are willing to take part in challenging projects which focus on developing advanced credit risk models and innovative methods for the estimation of ESG/Climate risk levels
- have / pursue an academic degree in a quantitative field
- have sound knowledge of statistical and econometric methods, 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
Requirements
- Academic background in a quantitative field (or pursuing a degree)
- Sound knowledge of statistical and econometric methods and probability theory
- Coding experience in SAS, R or Python
- Some experience with databases, data preparation and data quality control
- English at B2/C1 level
Information about the team
The Model Development department is responsible for the development of risk models at ING. Our teams are a centre of excellence for credit risk regulatory and non-regulatory models and engage in ESG/Climate Risk innovative projects and initiatives. We follow an Agile approach and use Scrum. The role naming convention in the global ING job architecture will be “ITP Trainee I”.
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.