Sr. Risk Analyst, AI/ML Model Validation
Overview
This is a remote role that may be hired in several markets across the United States.
This position provides risk analytics and expert support at the highest level of operational complexity to business units. Creates methods to evaluate potential losses and develops high-impact solutions to minimize or eliminate risk. Recommends and monitors enhancements to current processes and procedures, performing analysis and reporting in support of strategic objectives. Serves as a resource and may provide a leadership role for the work group through knowledge in the area of specialization.
Responsibilities
• Analysis - Conducts risk analysis to validate the performance of existing models and leads gap closing projects to include recommended model changes. Provides independent review of model validations, effectively assessing the validity of issues raised and methodological approaches for the proper resolution of these issues.
• Reporting - Reports regularly to the Model Risk Manager on the compliance of the model risk management program, including policies and procedures, with respect to its progress, working issues, and challenges.
• Relationship Development - Develops and maintains effective partnerships with the model analysts, model owners, business level risk management teams and auditors, internal and external.
• Business Support - Provides recommendations for the design, development, back testing, implementation and recalibration of models owned by the model development team. Assists in the review and validation of model performance and controls, including establishing the model validation scope, assessment of validation results and directing communication with stakeholders. Assists in the development and maintenance of the model inventory ensuring the inventory is complete, accurate, and consistent with the intent of the Model Validation Policy.
Qualifications
Bachelor's Degree and 6 years of experience in financial, statistical, or quantitative analysis experience OR High School Diploma or GED and 10 years of experience in financial, statistical, or quantitative analysis experience
Preferred Qualifications
• Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Statistics, Data Science, Financial Engineering, Mathematics, Economics, or a related quantitative discipline).
• 2+ years of relevant experience in model development, model validation, or model implementation in a regulated industry, is preferred.
• Understanding of Large Language Models and their API use
• Proficiency in both traditional statistical methods and machine learning techniques; Advanced programming skills (e.g., Python, R, SAS, SQL).
• Strong understanding of regulatory requirements, particularly those related to stress testing and capital planning.
• Excellent problem-solving skills, attention to detail.
• Excellent written and verbal communication skills.
• Understanding of regulatory guidance and expectations in Large Financial Institutions
This job posting is expected to remain active for 45 days from the initial posting date listed above. If it is necessary to extend this deadline, the posting will remain active as appropriate. Job postings may come down early due to business need or a high volume of applicants.
The base pay for this position is generally between $125,000.00 and $185,000.00. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.
Apply Now
Apply Now
This is a remote role that may be hired in several markets across the United States.
This position provides risk analytics and expert support at the highest level of operational complexity to business units. Creates methods to evaluate potential losses and develops high-impact solutions to minimize or eliminate risk. Recommends and monitors enhancements to current processes and procedures, performing analysis and reporting in support of strategic objectives. Serves as a resource and may provide a leadership role for the work group through knowledge in the area of specialization.
Responsibilities
• Analysis - Conducts risk analysis to validate the performance of existing models and leads gap closing projects to include recommended model changes. Provides independent review of model validations, effectively assessing the validity of issues raised and methodological approaches for the proper resolution of these issues.
• Reporting - Reports regularly to the Model Risk Manager on the compliance of the model risk management program, including policies and procedures, with respect to its progress, working issues, and challenges.
• Relationship Development - Develops and maintains effective partnerships with the model analysts, model owners, business level risk management teams and auditors, internal and external.
• Business Support - Provides recommendations for the design, development, back testing, implementation and recalibration of models owned by the model development team. Assists in the review and validation of model performance and controls, including establishing the model validation scope, assessment of validation results and directing communication with stakeholders. Assists in the development and maintenance of the model inventory ensuring the inventory is complete, accurate, and consistent with the intent of the Model Validation Policy.
Qualifications
Bachelor's Degree and 6 years of experience in financial, statistical, or quantitative analysis experience OR High School Diploma or GED and 10 years of experience in financial, statistical, or quantitative analysis experience
Preferred Qualifications
• Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Statistics, Data Science, Financial Engineering, Mathematics, Economics, or a related quantitative discipline).
• 2+ years of relevant experience in model development, model validation, or model implementation in a regulated industry, is preferred.
• Understanding of Large Language Models and their API use
• Proficiency in both traditional statistical methods and machine learning techniques; Advanced programming skills (e.g., Python, R, SAS, SQL).
• Strong understanding of regulatory requirements, particularly those related to stress testing and capital planning.
• Excellent problem-solving skills, attention to detail.
• Excellent written and verbal communication skills.
• Understanding of regulatory guidance and expectations in Large Financial Institutions
This job posting is expected to remain active for 45 days from the initial posting date listed above. If it is necessary to extend this deadline, the posting will remain active as appropriate. Job postings may come down early due to business need or a high volume of applicants.
The base pay for this position is generally between $125,000.00 and $185,000.00. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.
Apply Now
Apply Now