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Principal Quantitative Consultant
A company is looking for a Principal Quantitative Consultant, Model Validation - Financial Crimes & Compliance (Remote). Key Responsibilities Supervise quantitative analysts and collaborate with senior leaders to coordinate model validation efforts Lead comprehensive model validation processes to ensure accuracy and compliance with regulatory requirements Oversee model risk identification and mitigation strategies while ensuring high-quality documentation and reporting Required Qualifications Bachelor's Degree with 8 years of relevant experience, or High School Diploma/GED with 12 years of experience in financial, statistical, or quantitative analysis Preferred area of study includes quantitative or statistical analysis, financial engineering, mathematics, or computer science At least 10+ years of experience in model development, validation, or implementation within the financial industry Technical proficiency in statistical methods, machine learning, and programming languages (e.g., Python, R, SAS, SQL) In-depth understanding of regulatory requirements related to fraud prevention and AML compliance
A company is looking for a Principal Quantitative Consultant, Model Validation - Financial Crimes & Compliance (Remote).
Key Responsibilities
Supervise quantitative analysts and collaborate with senior leaders to coordinate model validation efforts
Lead comprehensive model validation processes to ensure accuracy and compliance with regulatory requirements
Oversee model risk identification and mitigation strategies while ensuring high-quality documentation and reporting
Required Qualifications
Bachelor's Degree with 8 years of relevant experience, or High School Diploma/GED with 12 years of experience in financial, statistical, or quantitative analysis
Preferred area of study includes quantitative or statistical analysis, financial engineering, mathematics, or computer science
At least 10+ years of experience in model development, validation, or implementation within the financial industry
Technical proficiency in statistical methods, machine learning, and programming languages (e.g., Python, R, SAS, SQL)
In-depth understanding of regulatory requirements related to fraud prevention and AML compliance
