Remote Model Risk Manager & Client Advisor

Crowe

Dallas (TX)

On-site

USD 70,000 - 145,000

Full time

4 days ago
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Job summary

The Model Risk Manager at Crowe will lead consulting engagements for financial services clients, focusing on model risk management and validation across credit risk, finance, and treasury models. You will supervise staff, manage projects from planning through delivery, and build trusted client relationships while driving high-impact solutions.

Ideal candidates bring 5+ years in financial institutions or regulatory supervision, with strong skills in data processing, back testing, and reporting to

Qualifications

  • Bachelor's degree in Finance, Statistics, Financial Engineering or Economics; graduate degree a plus.
  • 5+ years in financial institutions, Big 4, or regulatory supervisory roles.
  • Experience validating or developing models; back testing and benchmarking concepts.
  • Strong data processing, storage and visualization knowledge.
  • Ability to manage multiple engagements and lead a team.

Responsibilities

  • Supervise, train and review the work of other consultants.
  • Manage client service projects from planning to completion.
  • Build trusted client relationships and deliver meaningful recommendations.
  • Support business development by identifying new target clients and proposals.
  • Lead development of new services by understanding industry trends and client challenges.

Skills

Project management
Leadership
Client relationships
Data visualization
Python
R
SAS
SQL

Education

Bachelor's degree in Finance/Statistics/Finance Engineering/Economics
Graduate degree a plus

Tools

Power BI
Tableau
QlikView

Job description

The Model Risk Manager at Crowe will lead consulting engagements for financial services clients, focusing on model risk management and validation across credit risk, finance, and treasury models. You will supervise staff, manage projects from planning through delivery, and build trusted client relationships while driving high-impact solutions.

Ideal candidates bring 5+ years in financial institutions or regulatory supervision, with strong skills in data processing, back testing, and reporting to

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