[Hiring] Model Risk Senior Consultant @Crowe

Role Description

The Model Risk Senior Consultant will be responsible for performing consulting projects for a variety of financial services clients. This primarily includes consulting with clients about model risk management practices and providing model validation services, primarily for credit risk and treasury management (ALM)/finance related models. In addition, the role will also perform the following:

• Complete key aspects of client service projects from planning to completion.
• Become a trusted advisor to client management by providing appropriate recommendations and solutions.
• Support proposal and business development activities by identifying new target clients, building business relationships with key executives, and developing and presenting proposals.

Qualifications

• Bachelor’s degree in Finance, Statistics, Financial Engineering, or Economics or equivalent combination of education and experience.
• 4+ years’ of experience of working in financial institutions, Big 4 or equivalent, or regulatory supervisory of financial institutions.
• Working knowledge of:
  • Model risk management regulatory guidance (SR 11-7, OCC 2011-12, FDIC FIL-22-2017).
  • Credit risk model types (e.g., CECL, PD/LGD, Roll Rate, Scorecards, Stress Testing, etc.).
  • Other model types (e.g., Asset Liability Management, Pricing, Mortgage Servicing Rights, etc.).
• Direct experience performing model validations or model development, including concepts such as back testing, stress testing, sensitivity testing, and benchmarking.
• Technical knowledge about data processing, data storage, and data visualization.
• A self-starter who can prioritize multiple tasks, be resourceful and able to research and find solutions.
• Write and present to clients clear and concise reports and presentations containing meaningful recommendations.
• Direct and deliver significant engagements that deliver value to clients through project management, creation of deliverables and knowledge transfer.
• Manages engagement to ensure quality and is delivered within budget.
• Engagements are frequently conducted remotely.

Requirements

• Solid analytical background and knowledge of econometrics.
• Knowledge of risk ratings, risk rating/scorecard methodology, model governance, model development, CECL, DFAST, CCAR and capital allocation methodology would be a plus.
• Experience with statistical packages such as SAS, Matlab, Stata, Python, and R.
• Experience with database management, such as SQL.
• Experience with data visualization tools such as Microsoft Power BI, Tableau, QlikView.
• Working towards or having professional certification preferred (e.g., RMA CRC, CFA, FRM).

Benefits

• Comprehensive benefits package.
• Inclusive culture that values diversity.
• Consistent meetings with a Career Coach to guide career goals and aspirations.