Computer scientist (Python) with interest in quantitative modelling
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København S
Job ID: 20946
We are looking for a Python developer who wants to join our team’s journey in building a financial risk model library together with user-friendly dashboards. This is an opportunity for you who is experienced in Python software development and wants to extend your skillset to financial risk modelling and quantitative analysis.
What you will be doing:
The team, based in Copenhagen, consists of model developers, quantitative analysts and software developers. The purpose of the team is to develop accurate and prudent risk models that measures the counterparty credit risk (CCR) of derivative transactions aligned with regulatory expectations. There will be plenty of opportunities for you to develop further into the area of mathematical finance by performing quantitative analysis and developing mathematical models used to quantify counterparty credit risk.
Who you are
To succeed in this role, we believe that you:
Your experience and background:
It is an advantage if you have experience of, or are interested in, mathematical finance, derivative pricing and economics.
If this sounds like you, get in touch!
Next steps
Submit your application no later than 21/01/2024. For more information, you’re welcome to contact Head of Counterparty Credit Risk Models, Johan Sandberg at [email protected]. Applicants are reviewed on an ongoing basis.
At Nordea, we know that an inclusive workplace is a sustainable workplace. We deeply believe that our diverse backgrounds, experiences, characteristics and traits make us better at serving customers and communities. So please come as you are.
Please be aware that any applications or CVs coming through email or direct messages will not be accepted or considered.
We are looking for a Python developer who wants to join our team’s journey in building a financial risk model library together with user-friendly dashboards. This is an opportunity for you who is experienced in Python software development and wants to extend your skillset to financial risk modelling and quantitative analysis.
What you will be doing:
The team, based in Copenhagen, consists of model developers, quantitative analysts and software developers. The purpose of the team is to develop accurate and prudent risk models that measures the counterparty credit risk (CCR) of derivative transactions aligned with regulatory expectations. There will be plenty of opportunities for you to develop further into the area of mathematical finance by performing quantitative analysis and developing mathematical models used to quantify counterparty credit risk.
Who you are
To succeed in this role, we believe that you:
Your experience and background:
It is an advantage if you have experience of, or are interested in, mathematical finance, derivative pricing and economics.
If this sounds like you, get in touch!
Next steps
Submit your application no later than 21/01/2024. For more information, you’re welcome to contact Head of Counterparty Credit Risk Models, Johan Sandberg at [email protected]. Applicants are reviewed on an ongoing basis.
At Nordea, we know that an inclusive workplace is a sustainable workplace. We deeply believe that our diverse backgrounds, experiences, characteristics and traits make us better at serving customers and communities. So please come as you are.
Please be aware that any applications or CVs coming through email or direct messages will not be accepted or considered.
Information og data
Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".
Arbejdsstedet er beliggende i København S.
Jobbet er oprettet på vores service den 27.12.2023, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Forsker
- København S
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Statistik over udbudte forskere i København S over tid
| Dato | Alle jobs som forskere |
|---|---|
| 26. november 2024 | 8 |
| 25. november 2024 | 8 |
| 24. november 2024 | 8 |
| 23. november 2024 | 8 |
| 22. november 2024 | 8 |
| 21. november 2024 | 7 |
| 20. november 2024 | 7 |
| 19. november 2024 | 6 |
| 18. november 2024 | 6 |
| 17. november 2024 | 6 |
| 16. november 2024 | 7 |
| 15. november 2024 | 8 |
| 14. november 2024 | 8 |
| 13. november 2024 | 7 |
| 12. november 2024 | 6 |
| 11. november 2024 | 5 |
| 10. november 2024 | 5 |
| 9. november 2024 | 5 |
| 8. november 2024 | 6 |
| 7. november 2024 | 7 |
| 6. november 2024 | 6 |
| 5. november 2024 | 6 |
| 4. november 2024 | 5 |
| 3. november 2024 | 5 |
| 2. november 2024 | 5 |
| 1. november 2024 | 5 |
| 31. oktober 2024 | 5 |
| 30. oktober 2024 | 6 |
| 29. oktober 2024 | 6 |
| 28. oktober 2024 | 7 |
| 27. oktober 2024 | 8 |