Model and Credit Risk Senior Consultant

Overview

This role involves delivering model risk consulting services for a range of financial services clients. Responsibilities focus on model risk management practices and model validation, with emphasis on credit risk and treasury management (ALM)/finance-related models. Engagements are often conducted remotely.

Responsibilities

• Perform key aspects of client service projects from planning through completion.
• Advise client management by recommending appropriate solutions and maintaining meaningful client relationships.
• Support proposal and business development activities by:
  • Identifying new target clients
  • Building relationships with key executives
  • Developing and presenting proposals
• Deliver significant client engagements by managing projects, creating deliverables, and providing knowledge transfer.
• Manage engagements to ensure quality delivery within budget.
• Provide clear, concise reports and presentations to clients with meaningful recommendations.

Requirements

• Bachelor’s degree in Finance, Statistics, Financial Engineering, or Economics, or an equivalent combination of education and experience.
• 4+ years’ experience 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)
  • Other model types (e.g., Asset Liability Management, Pricing, Mortgage Servicing Rights)
  • Direct experience performing model validations or model development, including back testing, stress testing, sensitivity testing, and benchmarking
  • Data processing, data storage, and data visualization
• Ability to prioritize multiple tasks, research effectively, and find solutions.
• Ability to write and present clear, concise reports and presentations to clients.

Preferred Qualifications

• 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.
• Experience with statistical packages such as SAS, Matlab, Stata, Python, and R.
• Experience with database management (e.g., SQL).
• Experience with data visualization tools such as Microsoft Power BI, Tableau, QlikView.
• Working towards or having a professional certification (e.g., RMA CRC, CFA, FRM).

Compensation & Benefits

• A comprehensive benefits package is offered.

Location

Engagements are frequently conducted remotely.