Model Risk Manager — Remote Consulting Lead

Crowe

Hartford (CT)

Presencial

USD 70.000 - 143.000

Jornada completa

hace 19 horas
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Descripción de la vacante

Crowe is seeking a Model Risk Manager to lead consulting projects for financial services clients, focusing on model risk management and validation for credit risk, finance, and treasury models. You will guide teams, manage client relationships, and help develop new services leveraging AI and data analytics.

Ideal candidates have 5+ years of experience in financial institutions or supervisory roles, with strong technical skills in data processing, back testing, and reporting.

Formación

  • 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 experience.

Responsabilidades

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

Conocimientos

Model risk mgmt
Credit risk
Data visualization
Python
SQL
SAS
R
Power BI
Tableau
QlikView

Educación

Bachelor’s degree in Finance/Statistics/Economics

Herramientas

SAS
Matlab
Stata
Python
R
SQL
Power BI
Tableau
QlikView

Descripción del empleo

Crowe is seeking a Model Risk Manager to lead consulting projects for financial services clients, focusing on model risk management and validation for credit risk, finance, and treasury models. You will guide teams, manage client relationships, and help develop new services leveraging AI and data analytics.

Ideal candidates have 5+ years of experience in financial institutions or supervisory roles, with strong technical skills in data processing, back testing, and reporting.

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