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Summary:The Quantitative Risk Modeling Lead is responsible for overseeing the development, implementation, and monitoring of advanced quantitative models for consumer and commercial credit, PPNR, loan origination, and portfolio management. + Advanced Model Building: Compile and process historical data, perform sophisticated data analysis using AI/ML tools, build and refine models using regression analysis and ML tools, and oversee implementation and production.

YEAR

Description Quantitative Risk Modeling Lead Summary:The Quantitative Risk Modeling Lead is responsible for overseeing the development, implementation, and monitoring of advanced quantitative models for consumer and commercial credit, PPNR, loan origination, and portfolio management. This role requires a deep understanding of statistical modeling, machine learning, and risk management frameworks, along with strong leadership and project management skills. This role is designed for an experienced professional who can lead the development and implementation of advanced quantitative models, oversee and guide analysts, review work performed by analysts, and manage multiple projects effectively. Duties and Responsibilities: + Model Development: Lead the creation and enhancement of complex quantitative models for credit risk, PPNR, loan origination, and portfolio management. + Data Analysis: Oversee the analysis of credit portfolio performance data to identify trends, risks, and opportunities. + Model Monitoring: Ensure ongoing monitoring and validation of existing models, including reporting and analysis of results. + Advanced Model Building: Compile and process historical data, perform sophisticated data analysis using AI/ML tools, build and refine models using regression analysis and ML tools, and oversee implementation and production. + Research: Drive research initiatives to explore new modeling methodologies and techniques, staying abreast of industry advancements. + Collaboration: Coordinate with various teams to support governance, audit/compliance, and validation projects related to developed models. + Leadership: Mentor and supervise more junior modeling analysts, providing guidance and support to ensure high-quality model development and implementation through the performance of technical reviews. + Project Management: Manage multiple projects simultaneously, ensuring timely delivery and adherence to strict deadlines. + Performance Analysis: Conduct in-depth analysis of credit portfolio performance data, providing actionable insights to senior management. + Ad-Hoc Analytics: Lead ad-hoc analytics projects to address specific business needs and challenges. + Other Duties: Perform additional duties as assigned, contributing to the overall success of the risk modeling team. Basic Qualifications: + Master's degree in a quantitative field (mathematics, statistics, economics, engineering, finance, physics). + 5+ years of experience in statistical modeling using SQL, SAS, R, and Python5+ years of experience in machine learning and data mining Preferred Qualifications: + PhD in a quantitative field. + Extensive knowledge of CCAR/DFAST and CECL concepts and frameworks. + Proven ability to lead complex projects and supervise junior modeling analysts. + Deep understanding of loss forecasting, loan origination, and portfolio management modeling concepts (PD, LGD, EAD). + Exceptional analytical skills, comprehensive understanding of risk concepts and frameworks, strong communication skills, proficiency in MS Office products, and a solid grasp of economic concepts. + Demonstrated passion and drive for operational excellence and quality delivery. #LI-Onsite #LI-MK2 Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: $93,000- $189,000 annual salary The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance.  Colleagues in this position are also eligible to participate in an applicable incentive compensation plan.  In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Huntington National Bank

Quantitative Risk Modeling Lead

The Quantitative Risk Modeling Lead is responsible for overseeing the development, implementation, and monitoring of advanced quantitative models for consumer and commercial credit, PPNR, loan origination, and portfolio management. Advanced Model Building: Compile and process historical data, perform sophisticated data analysis using AI/ML tools, build and refine models using regression analysis and ML tools, and oversee implementation and production.

<h1>Description</h1>Quantitative Risk Modeling LeadSummary: The Quantitative Risk Modeling Lead is responsible for overseeing the development, implementation, and monitoring of advanced quantitative models for consumer and commercial credit, PPNR, loan origination, and portfolio management. This role requires a deep understanding of statistical modeling, machine learning, and risk management frameworks, along with strong leadership and project management skills.This role is designed for an experienced professional who can lead the development and implementation of advanced quantitative models, oversee and guide analysts, review work performed by analysts, and manage multiple projects effectively.Duties and Responsibilities:<ul><li>Model Development: Lead the creation and enhancement of complex quantitative models for credit risk, PPNR, loan origination, and portfolio management.</li><li>Data Analysis: Oversee the analysis of credit portfolio performance data to identify trends, risks, and opportunities.</li><li>Model Monitoring: Ensure ongoing monitoring and validation of existing models, including reporting and analysis of results.</li><li>Advanced Model Building: Compile and process historical data, perform sophisticated data analysis using AI/ML tools, build and refine models using regression analysis and ML tools, and oversee implementation and production.</li><li>Research: Drive research initiatives to explore new modeling methodologies and techniques, staying abreast of industry advancements.</li><li>Collaboration: Coordinate with various teams to support governance, audit/compliance, and validation projects related to developed models.</li><li>Leadership: Mentor and supervise more junior modeling analysts, providing guidance and support to ensure high-quality model development and implementation through the performance of technical reviews.</li><li>Project Management: Manage multiple projects simultaneously, ensuring timely delivery and adherence to strict deadlines.</li><li>Performance Analysis: Conduct in-depth analysis of credit portfolio performance data, providing actionable insights to senior management.</li><li>Ad-Hoc Analytics: Lead ad-hoc analytics projects to address specific business needs and challenges.</li><li>Other Duties: Perform additional duties as assigned, contributing to the overall success of the risk modeling team.</li></ul>Basic Qualifications:<ul><li>Master's degree in a quantitative field (mathematics, statistics, economics, engineering, finance, physics).</li><li>5+ years of experience in statistical modeling using SQL, SAS, R, and Python5+ years of experience in machine learning and data mining</li></ul>Preferred Qualifications:<ul><li>PhD in a quantitative field.</li><li>Extensive knowledge of CCAR/DFAST and CECL concepts and frameworks.</li><li>Proven ability to lead complex projects and supervise junior modeling analysts.</li><li>Deep understanding of loss forecasting, loan origination, and portfolio management modeling concepts (PD, LGD, EAD).</li><li>Exceptional analytical skills, comprehensive understanding of risk concepts and frameworks, strong communication skills, proficiency in MS Office products, and a solid grasp of economic concepts.</li><li>Demonstrated passion and drive for operational excellence and quality delivery.</li></ul>#LI-Onsite#LI-MK2 Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)YesWorkplace Type:OfficeOur Approach to Office Workplace TypeCertain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds:  in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.Compensation Range:$93,000- $189,000 annual salaryThe compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance.  Colleagues in this position are also eligible to participate in an applicable incentive compensation plan.  In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer.Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.Note to Agency Recruiters:  Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Huntington

The role will require collaboration with business process owners and various 2nd line key stake holders such as compliance, operations, and IT risk department to form an informed opinion on models The model validation manager acts as a key leader in the organization and influences the first and second lines of defense. + Lead/supervise the effort to execute the model validation program, including the review and validation of financial crimes (Fraud, BSA/AML), marketing and AI/ML models.

Description The Model Validation Manager will lead/supervise the validation program of models (qualitative and qualitative models) at Huntington National Bank. The role will require collaboration with business process owners and various 2nd line key stake holders such as compliance, operations, and IT risk department to form an informed opinion on models The model validation manager acts as a key leader in the organization and influences the first and second lines of defense. + Lead/supervise the effort to execute the model validation program, including the review and validation of financial crimes (Fraud, BSA/AML), marketing and AI/ML models + Establishes and maintains relationships with all model stakeholders to discuss all manner of model risk topics including needs, identified issues and limitations + Manages the performance, training, and evaluation of assigned staff including workflow of activities + Provide innovative, thorough, and practical solutions to an extensive range of demanding problems + Provide leadership, guidance and support as needed to less experienced validators as they perform independent model validation in accordance with bank polices, standards and procedures. + Establishes the scope and necessary testing of models to support program requirements + Stay abreast of emerging modeling techniques and evolving regulatory expectations, develop validation approaches, and incorporate them into model risk practices as appropriate + Review and edit Model Validation reports to ensure reports are accurate, complete, and compliant with Policy, Standards and Procedures. + Perform supervisory functions, including but not limited to, making employment decisions regarding hiring, promoting, demoting and terminating, conducting performance appraisals and coaching and developing staff. Basic Qualifications: + Master’s degree in a quantitative field (Mathematics, Statistics, Economics, Physics, Data Science, etc.) + Minimum 5+ years of relevant analytical work experience in model validation or model development roles. Preferred Qualifications: + Experience in performing data analysis and statistical tests in programming languages like Python, R, SAS, or other programming languages + Strong analytical abilities, presentation, and communication skills. + Strong verbal and written communication skills and ability to communicate technical information to non-technical audiences + Knowledge of Interagency guidance of model risk management (SR 11-7) + It would be preferred that the candidate has exposure and familiar with financial crimes models and AI/ML + Experience as a Model Developer or Model Validator + Experience with managing a team and building partnership with business stakeholders + Proficiency with SAS, R, SQL, Python, or other programming languages. + Industry experience with deep knowledge of regulations, regulatory expectations, industry practices, and experience across a wide variety of products and model types including AI/ML models Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: $93,000- $189,000 annual salary The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance.  Colleagues in this position are also eligible to participate in an applicable incentive compensation plan.  In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Model Risk Manager

The role will require collaboration with business process owners and various 2nd line key stake holders such as compliance, operations, and IT risk department to form an informed opinion on models The model validation manager acts as a key leader in the organization and influences the first and second lines of defense. Lead/supervise the effort to execute the model validation program, including the review and validation of financial crimes (Fraud, BSA/AML), marketing and AI/ML models.

<h1>Description</h1>The Model Validation Manager will lead/supervise the validation program of models (qualitative and qualitative models) at Huntington National Bank. The role will require collaboration with business process owners and various 2nd line key stake holders such as compliance, operations, and IT risk department to form an informed opinion on models The model validation manager acts as a key leader in the organization and influences the first and second lines of defense.  <ul><li>Lead/supervise the effort to execute the model validation program, including the review and validation of financial crimes (Fraud, BSA/AML), marketing and AI/ML models</li><li>Establishes and maintains relationships with all model stakeholders to discuss all manner of model risk topics including needs, identified issues and limitations</li><li>Manages the performance, training, and evaluation of assigned staff including workflow of activities </li><li>Provide innovative, thorough, and practical solutions to an extensive range of demanding problems</li><li>Provide leadership, guidance and support as needed to less experienced validators as they perform independent model validation in accordance with bank polices, standards and procedures.</li><li>Establishes the scope and necessary testing of models to support program requirements</li><li>Stay abreast of emerging modeling techniques and evolving regulatory expectations, develop validation approaches, and incorporate them into model risk practices as appropriate</li><li>Review and edit Model Validation reports to ensure reports are accurate, complete, and compliant with Policy, Standards and Procedures.</li><li>Perform supervisory functions, including but not limited to, making employment decisions regarding hiring, promoting, demoting and terminating, conducting performance appraisals and coaching and developing staff.</li></ul>Basic Qualifications: <ul><li>Master’s degree in a quantitative field (Mathematics, Statistics, Economics, Physics, Data Science, etc.)</li><li>Minimum 5+ years of relevant analytical work experience in model validation or model development roles.</li></ul>Preferred Qualifications:<ul><li>Experience in performing data analysis and statistical tests in programming languages like Python, R, SAS, or other programming languages</li><li>Strong analytical abilities, presentation, and communication skills.</li><li>Strong verbal and written communication skills and ability to communicate technical information to non-technical audiences</li><li>Knowledge of Interagency guidance of model risk management (SR 11-7)</li><li>It would be preferred that the candidate has exposure and familiar with financial crimes models and AI/ML</li><li>Experience as a Model Developer or Model Validator</li><li>Experience with managing a team and building partnership with business stakeholders</li><li>Proficiency with SAS, R, SQL, Python, or other programming languages.</li><li>Industry experience with deep knowledge of regulations, regulatory expectations, industry practices, and experience across a wide variety of products and model types including AI/ML models</li></ul> Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)YesWorkplace Type:OfficeOur Approach to Office Workplace TypeCertain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds:  in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.Compensation Range:$93,000- $189,000 annual salaryThe compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance.  Colleagues in this position are also eligible to participate in an applicable incentive compensation plan.  In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer.Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.Note to Agency Recruiters:  Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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