Quantitative Credit Risk Manager (f / m)

  • Attractive
  • Hambourg, Allemagne
  • CDI, Plein-temps
  • White Horse International
  • 17 janv. 18 2018-01-17

A bank in Hamburg with around 700 employees, which is part of an international banking group, is currently looking to hire a Quantitative Credit Risk Manager (f / m).

Your tasks

  • Optimization of automated credit decision-making systems and processes
  • Continuous system analysis of automated decision-making workflows, identification of optimization potentials and derivation of appropriate measures to increase efficiency
  • Expansion of process monitoring and the tools used for this purpose in our underlying data pools and the derivation of meaningful parameters and benchmarks
  • Regular monitoring of the functioning of our risk classification procedures and other risk parameters used across the bank for all major risk types of our institute
  • Preparation of presentation documents for our decision-making committees, such as the risk committee or the steering committees of the Bank
  • Implementation of event-related data analyzes with goal-oriented results processing addressed to addressees
  • Collaboration in projects in the risk-controlling environment (eg scoring and rating procedures, IFRS9.2)

Your profile

 

 

  • Degree in economics with a quantitative orientation and very good statistical background as well as several years of professional experience in risk controlling / management, preferably in a bank or leasing company, or in a comparable position
  • Practical experience with methods for the analysis and optimization of automated credit decision-making systems in the retail segment
  • High interest in novel data analysis and prognostic methods (scoring, machine learning, etc.)
  • Good English, German an advantage
  • Very good knowledge in MS Office (especially Excel / Access / PowerPoint)
  • Security in handling front-end analysis tools (eg IBM Cognos), with SQL as well as VBA and possibly with statistical software (eg SAS, SPSS)
  • Know-how in the relevant banking supervisory regulations (eg CRD IV, CRR)
  • Excellent ability to analyze, evaluate and concise presentation of complex facts and processes
  • High self-initiative, willingness to work as well as secure and binding behavior
  • Strong teamwork and communication strength