MoRM (DIPL), AVP

Role Description

Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for:

• Performing robust independent model validation;
• Ensuring early and proactive identification of Model Risks;
• Effectively managing and mitigating Model Risks;
• Establishing Model Risk metrics;
• Designing and implementing a strong Model Risk Management and governance framework;
• Supporting bank-wide Model Risk-related policies.
• This role spans all aspects of validation applicable to the portfolio of estimation approaches within the Deutsche Bank Combined US Operations (CUSO) across all relevant business units and risk types.

Your key responsibilities

• The core responsibility will be to validate Stress testing models used within the larger CCAR PPNR umbrella for DB USA. Its important for incumbent to grasp and understand the different business including Investment Banking, Private Bank, Corporate Bank and Asset Management.
  • However, the role might necessitate model validator to be flexible in moving around different risk areas within US model validation team outside of core area of responsibility.
• Key tasks include, but not limited to model performance testing, scenario analysis, sensitivity analysis, and conceptual assessment of model assumptions/limitations/weaknesses.
• Developing challenger models including independent data collection and by performing complex analysis and testing.
• Follow regulatory guidelines and the Banks policies and procedures for model risk management, especially CCAR-specific guidelines.
• Bringing efficiency by automating processes and uplifting frameworks utilized in validation activities.

Your skills and experience

• 6-10 years of professional experience in model development/ validation or related areas. 2-3 years of experience in PPNR model development / validation.
• Previous experience in stress testing (DFAST/CCAR/ICAAP) would be a plus.
• The candidate must possess substantial knowledge and experience in working with B/PPNR models across various lines of business, including Corporate Banking, Private Banking, Investment Banking, and Treasury Functions.
• Ability to analyse and understand financial statements (Balance sheet, Income statement) will be advantageous.
• Experience and knowledge of Statistical techniques, strong analytical skills with experience in relevant software packages, e.g., R and Python.
• Candidate needs to have above average report drafting skills and should be able to independently compile model validation reports, follow-through on mitigation of validation findings, and documentation thereof.
• Good presentation & communication skills. Ability to deal with stakeholders and handle difficult conversations.
• Candidates with Mathematics/Statistics/Economics/Engineering/ MBA or allied background holding Graduate/Post-Graduate degrees are preferred.
• CFA / FRM certification will be a plus for the role.
• Candidates having experience / strong knowledge in Business Intelligence tools like Power BI, Tableau, Automation through MS-Access / VBA, developing framework, designing presentations will be a plus for the role.