Credit Risk Modelling (m/f/d)

Sei unter den ersten Bewerbenden.
Nur für registrierte Mitglieder
Stuttgart
EUR 65.000 - 95.000
Sei unter den ersten Bewerbenden.
Vor 4 Tagen
Jobbeschreibung

Social network you want to login/join with:

col-narrow-left

Client:

Selby Jennings

Location:

Stuttgart, Germany

Job Category:

Finance

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

60a95ae7ddc2

Job Views:

2

Posted:

09.05.2025

Expiry Date:

23.06.2025

col-wide

Job Description:

Are you a skilled Credit Risk Modeller looking to advance your career in the banking sector? Join a dynamic team in Stuttgart, Germany, where you can work flexibly in a hybrid environment!

Responsibilities:

  • Develop, implement, and validate statistical models and processes for Basel and IFRS 9, focusing on PD, LGD, and EL within the IRB approach for the retail business, alongside two team members.
  • Collaborate closely with expert teams from our parent company to define models, identify relevant risk factors, select data, and implement segmentation and calibration.
  • Support regulatory audits and facilitate model acceptance within the IRBA framework.
  • Integrate models into risk management practices in close cooperation with the credit department.
  • Create and periodically update model reports and documentation, including backtesting of Basel and IFRS 9 parameters and segmentation. Present results and recommendations to various local and Group committees.
  • Conduct and coordinate stress tests. Prepare risk analyses and reports. Validate and backtest models and scorecards.

Qualifications:

  • Completed studies in statistics, (business) mathematics, industrial engineering, or economics with a quantitative focus.
  • Proven professional experience in IRB modeling and quantitative analysis.
  • Proficiency in programming languages such as SQL, SAS, and R or Python.
  • Strong knowledge of IRB regulations and IFRS 9.
  • Experience in regulatory project management.
  • Excellent command of English and German.