Description

The Senior Quantitative Credit Risk Officer plays a key role in the identification and quantifying of credit risks across consumer and business lending segments, leveraging analytical techniques to inform strategy for optimizing risk and return in Huntington’s Consumer and Regional Bank lending portfolios.  This quantitative leader will partner with experienced risk professionals, senior leaders involved in lending, account management, collections, data stewards, and other quantitative teams to advance the suite of analytical tools available for portfolio management, underwriting, and default management.   

Duties and Responsibilities:

• Serve as a core advisor and trusted partner to model users, model developers, and model owners, providing consultative support and guidance through projects and analytical efforts involving models and quantitative tools to ensure success.

• Leverage skills in data wrangling and quantitative analysis in partnership with business SMEs to identify emerging credit risks, quantify credit risk of proposed lending and portfolio management strategies, and recommend alternatives.

• Partner with Credit Risk Administration and Model Development to advance BAU credit loss forecasting approaches and identify opportunities to improve quantitative tools leveraged in decision making.

• Actively engage with Model Development, Model Risk Management, Credit Risk Administration, and model users to ensure model risk is managed appropriately through the model life cycle for models in use in the Consumer and Regional Bank.

• Serve as subject matter expert for leveraging Huntington’s Enterprise Data Warehouse and other data sources required to quantify and manage credit risk.

• Communicate risk-related information and quantitative analysis results to stakeholders including model users, senior management, and oversight teams. 

• Partner with other Huntington colleagues to automate processes involving analytical code for efficiency gains.

• Proactively challenge and influence business and risk partners on credit risk related issues, ensuring that remediations are timely, effective and sustainable.

Basic Qualifications:

• Advanced degree in a quantitative discipline such as Mathematics, Statistics, Economics, Finance, or related field.

• Minimum 10 years of experience in a quantitative role working with a regional or national bank in the areas of Audit, Compliance, First or Second Line Risk Management, Model Development, or Model Risk Management

• 10 years of experience coding in SAS or Python with use of SQL

Preferred Qualifications:

• Ph.D. preferred in a quantitative discipline such as Mathematics, Statistics, Economics, Finance, or related field.

• Clear communication skills to all levels of management (written and verbal)

• 10+ years' experience with at least three consumer or regional bank lending verticals including Residential Mortgage, Home Equity, Indirect Auto, Consumer Unsecured, Outdoor Power Equipment, Power Sports, Commercial & Industrial, Commercial Real Estate, Small Business Unsecured, or Deposit Overdrafts

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Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Workplace Type:

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.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters:  Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.