Manager - Financial Risk Manager - Financial Risk …

Badenoch + Clark (Switzerland)
in Zürich
Festanstellung, Vollzeit
Letzte Bewerbung, 27 Nov 21
Competitive
Badenoch + Clark (Switzerland)
in Zürich
Festanstellung, Vollzeit
Letzte Bewerbung, 27 Nov 21
Competitive
Manager - Financial Risk
Our client is a dynamic and actively growing boutique consultancy firm, specialized in financial services risk. They are looking for Manager - Financial Risk to join the growing Zurich team. For this role they are looking for a person with experience in financial services risk advisory, strong technical capability and, preferably, a network in financial services. Fluency in German and English is required for this role. The company can offer a very entrepreneurial environment, great career development opportunities and flat organizational structure.
Responsibilities
  • Advising customers in the financial services industry on regulatory and economic issues as well as participating in national and international projects
  • Development, implementation, and validation of risk models
  • Analysis, optimization and implementation of business processes and management systems in the context of risk processes and risk modeling
  • Integration of new aspects into risk modeling and risk processes
  • Continuous maintenance of client relationships and constant expansion of your professional network
  • Dealing with customer needs and market developments
  • Professional management of project teams and mentoring of consultants and senior consultants
Your profile
  • Higher degree in the fields of economics, business informatics and mathematics, physics, mathematics or computer science with strong analytical skills
  • At least 4 years of professional experience in the consulting environment with a focus on financial risk and banking regulation
  • Professional network in the banking and financial services industry
  • Proven experience in project management as well as in project / team management
  • Excellent communication and teamwork skills
  • Experience with any of the following tools or techniques:
    • Statistics tools as well as techniques in the area of ​​machine learning / AI
    • Script / programming languages ​​(e.g. R, Python, SAS)
    • Database systems (e.g. Oracle, MS SQL Server, MS Access)
  • Entrepreneurial thinking
  • Fluency in German and English
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