Model Risk Manager

Crowe LLP; Chicago (IL); Hybrid; USD 106,600 - 217,900; Full time

Job summary

Crowe LLP is seeking a Model Risk Manager to lead consulting projects for financial services clients, focusing on model validation for credit risk, finance, and treasury models. You will supervise teams, manage projects end-to-end, and build trusted advisory relationships with client management.

The role involves delivering value through engagements, leading deliverables, and potentially remote work with travel up to 25%.

Qualifications

• Bachelor’s degree in Finance, Statistics, Financial Engineering, or Economics or equivalent combination of education and experience.
• 5+ years’ experience in financial institutions, Big 4 or equivalent, or regulatory supervisory of financial institutions.
• 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).
• Experience with model validations or development including back testing and stress testing.
• Data processing, data storage, and data visualization knowledge.

Responsibilities

• Supervise, train and review the work of other consultants.
• Manage key aspects of client service projects from planning to completion.
• Provide recommendations and build client relationships with management.
• Support proposals and business development by identifying new target clients.
• Lead development of new services by understanding industry trends and client challenges.

Skills

Leadership

Client management

Project management

Communication

Econometrics

Data interpretation

Education

Bachelor's degree (Finance)

Statistics/Financial Engineering/Economics

Graduate degree a plus

Tools

SAS

Matlab

Stata

Python

R

SQL

Power BI

Tableau

QlikView

Job description

Job Description:

The Model Risk Manager will be responsible for performing and managing 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, finance, and treasury management models (asset liability management, liquidity, interest rate risk).

• Supervise, train and review the work of other consultants.
• Manage key aspects of client service projects from planning to completion.
• Become a trusted advisor to client management by providing appropriate recommendations and solutions. Able to make and sustain meaningful client relationships.
• Support proposal and business development activities by identifying new target clients, building business relationships with key executives, and developing and presenting proposals.
• Understand industry trends and client challenges in order to lead the development of new services and solutions.

Qualifications:

• Bachelor’s degree in Finance, Statistics, Financial Engineering, or Economics or equivalent combination of education and experience. Graduate degree a plus.
• 5+ years’ 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.
• Ability to lead and manage a team.
• Manages engagement to ensure quality and is delivered within budget.
• Engagements are frequently conducted remotely.
• This position may require travel but is not expected to exceed 25%.

Additional skills desired:

• 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.
• Basic understanding of trends in artificial intelligence and machine learning.
• Professional certification preferred (e.g., RMA CRC, CFA, FRM).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including skill sets, experience and training, licensure and certifications, and other business and organizational needs. A reasonable estimate of the current range is 106,600.00 - 217,900.00 per year.

Our Benefits:

Your exceptional people experience starts here. At Crowe, we care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!

Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.