Manager, Model Validation and Risk Management
2 weeks ago
Closing Date (MM/DD/YYYY):
07/27/2025
Worker Type:
Permanent
Language(s) Required:
English
Term Duration (in months):
Salary Range (plus eligible to receive a performance based incentive, applicable to position):
Strong leader with a passion for mathematics and statistics needed
Mentor and lead team members and third-party consultants in a fast-paced, deadline-driven environment.
As an effective communicator and relationship-builder, you’ll strengthen model risk management practices across the organization in line with industry standards and approaches, providing confidence in FCC’s model suite and further enabling the business.
**What you’ll do**:
- Lead and oversee the Model Risk Management team, processes and lifecycle
- Oversee third-party engagements that support outsourced model validation work
- Ensure the model inventory is risk rated, assessed and validated to provide assurance to the business that models are fit for use
- Help leaders understand and leverage insights by clarifying complex data relationships that impact FCC and the industry through model management
- Collaborate in research and data sharing with internal and external stakeholders to keep pace with business and industry needs
**What we’re looking for**:
- Experienced leader committed to the success of others
- Confident communicator able to make complex information easy to understand
- Skilled collaborator able to build relationships across the organization and externally
- Deadline-driven multi-tasker who can ensure projects move forward under predetermined timelines in a fast-paced environment
**What you’ll need**:
- A professional designation (CFA, ASA, FSA) and/or graduate degree in business administration, mathematics, statistics or economics and at least seven years of related experience (or an equivalent combination of education and experience)
- Experience with model development and validation concepts and techniques, including a solid understanding of models used across economics, finance, marketing, risk management, credit risk modelling, credit portfolio management and IT
- Mastery of one or more predictive and descriptive analytics tools used to analyze large datasets
- Strong mathematical or statistical background
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