Model Risk Manager | Remote Advisory Consultant

Crowe; Oakbrook Terrace (IL); On-site; USD 70,000 - 145,000; Full time

Job summary

Crowe seeks a Model Risk Manager to lead consulting projects for financial services clients, focusing on model risk management and validation across credit risk, liquidity, and treasury models. The role emphasizes client relationship building, delivering high-impact insights, and guiding junior consultants.

Expect to supervise teams, manage engagements from planning to delivery, and travel up to 25% as needed. A strong background in statistics, finance, and quantitative methods is essential.

Qualifications

• Bachelor’s degree in Finance, Statistics, Financial Engineering, or Economics; graduate degree a plus.
• 5+ years in financial institutions, Big 4, or regulatory supervision.
• Experience with model risk management guidance and various model types (credit risk, ALM, etc.).

Responsibilities

• Supervise, train and review work of other consultants.
• Manage key aspects of client service projects from planning to completion.
• Develop client relationships and provide recommendations.
• Support business development and proposals.
• Lead development of new services based on industry trends.
• Deliver engagements within budget and with quality.

Skills

Model risk management

Credit risk

Regulatory guidance

Data visualization

SQL

Python

R

SAS

Leadership

Client relations

Education

Bachelor's degree in Finance, Statistics, Financial Engineering, or Economics

Tools

SAS

Matlab

Stata

Python

R

SQL

Power BI

Tableau

QlikView

Job description

Crowe seeks a Model Risk Manager to lead consulting projects for financial services clients, focusing on model risk management and validation across credit risk, liquidity, and treasury models. The role emphasizes client relationship building, delivering high-impact insights, and guiding junior consultants.

Expect to supervise teams, manage engagements from planning to delivery, and travel up to 25% as needed. A strong background in statistics, finance, and quantitative methods is essential.