Model Jobs in Fontana, CA
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Model • fontana ca
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Model Risk Analyst
VirtualVocationsSan Bernardino, California, United StatesContent Creator (Model)
Orca CommunicationsSan Bernardino, California, United States- Promoted
Model
TradeJobsWorkForce92517 Riverside, CA, USContent Creator (Model)
ORCA CommunicationsSan Bernardino, CA, United StatesRemote English Language Audio Model Trainer - AI Trainer ($20-$20 per hour)
MercorJurupa Valley, California, US- Promoted
FBS Model Risk Management Lead
CapgeminiRiverside, CA, US- Promoted
Director, Customer Programs
Model NRiverside, CA, US- Glendale, CA (from $ 79,875 to $ 227,500 year)
- Waco, TX (from $ 24,960 to $ 223,950 year)
- Wichita, KS (from $ 65,000 to $ 223,950 year)
- Manchester, NH (from $ 149,050 to $ 223,950 year)
- Santa Clarita, CA (from $ 99,958 to $ 219,500 year)
- Santa Clara, CA (from $ 102,263 to $ 219,500 year)
- Santa Ana, CA (from $ 98,525 to $ 219,500 year)
- Carrollton, TX (from $ 26,813 to $ 205,385 year)
- Cambridge, MA (from $ 97,500 to $ 201,625 year)
- Alexandria, VA (from $ 85,000 to $ 201,488 year)
The average salary range is between $ 58,518 and $ 155,836 year , with the average salary hovering around $ 100,651 year .
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Model Risk Analyst
VirtualVocationsSan Bernardino, California, United States- Full-time
A company is looking for a Model Risk Analyst, Non-Quantitative Tools (Remote).
Key Responsibilities
Lead activities around the lifecycle of Non-Model Quantitative Tools, including process improvements and cross-functional initiatives
Manage execution of tool lifecycle stages, including risk identification, vendor due diligence, and quality assurance reviews
Develop training materials, facilitate communication with stakeholders, and support regulatory and audit requests
Required Qualifications
Bachelor's Degree and 4 years of experience in risk management, financial analysis, or statistical modeling, or
High School Diploma or GED and 8 years of experience in risk management, financial analysis, or statistical modeling
Master's degree or advanced degree in relevant fields is preferred
Experience working at a large financial institution is preferred
Expertise in a broad range of tool lifecycle stages is preferred