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Treasury Analytics and Modeling Analyst Sr.
Description
About Huntington
Huntington Bancshares Incorporated is an approximately $189 billion (2023Q1) asset regional bank holding company headquartered in Columbus, Ohio with a network of more than 1,000 bank offices across eleven states. Founded in 1866, The Huntington National Bank and its affiliates provide consumer, small business, commercial, treasury management, wealth management, brokerage, trust, and insurance services. Huntington also provides auto dealer, equipment finance, national settlement and capital market services that extend beyond its core states. Visit huntington.com for more information.
Summary
Huntington’s Treasury Balance Sheet Management (BSM) team sits at the hub of the bank: every month we forecast the entirety of our balance sheet under various interest rate scenarios to identify potential risks and recommend actions to mitigate the interest rate risk (IRR). From our position we track every line of business and keep a pulse on how the bank is performing overall.
We are recruiting for a Senior Modeling Analyst to our Treasury Analytics and Modeling group (BSM-TAM) who will bring statistical know-how, business sense and implementation skills to our balance sheet forecasts. The Senior Modeling Analyst will be the intellectual owner of the team’s forecasting methodology for key areas of the bank’s balance sheet in a cashflow engine application. Within this area of responsibility, the Senior Modeling Analyst will:
+ Work closely with appropriate product owners to deeply understand the business dynamics of our products.
+ Develop and document models and non-model assumptions that translate those real-world dynamics into mathematical representations of behavior. Make and defend key tradeoffs between model accuracy and complexity, in line with the BSM team’s overall strategic objectives. Be aware of changes in product management strategy and maintain a perspective for when existing models conceptually diverge from their stated objective.
+ Implement our forecasts in the cashflow engine, currently QRM, with special focuses on data extraction and aggregation of suites of feeder models and assumptions on loan prepays, deposit rates paid/offered, deposit balance retention, along with term structure model of interest rates and mortgage rate forecast.
+ Perform model validation and ongoing monitoring in adherence to our risk framework. In cases where model performance degrades, perform appropriate research to identify root causes, and recommend then implement fixes to bring models back within compliance under proper model governance policy.
+ Work closely with our BSM IRR team to ensure models are appropriately implemented for monthly production, especially in light of data changes, product changes and merger/acquisition activities.
Requirements:
+ Five years of experience managing production-ready models over the modeling lifecycle (requirements gathering, data preparation, model development, documentation, and ongoing monitoring/refreshes).
+ Master’s degree in a quantitative field (economics, mathematics, statistics, physics).
Preferred Qualifications:
+ Experience in a managerial role to develop and lead colleagues and projects.
+ Demonstrated familiarity in the statistical techniques of time series, decay, and/or prepay models and term structure model of interest rates
+ Experience developing models in standard data management and statistical software (e.g., SQL, R, SAS, STATA, Python, etc.). Our team uses SQL, Python and SAS
+ Excellent written and verbal communication skills, with experience explaining model results and limitations to non-technical audiences
+ Facility with advanced Microsoft Office skills, especially Excel
+ Experience in model governance activity per risk management frameworks typical at banks above $200bn in assets
+ Experience implementing models in Financial Services cashflow forecasting engines, including QRM, Bankware, Empyrian, or others
+ Curiosity and creativity to provide a point of view even if that perspective is contrary to conventional wisdom. Willingness to personally be the “hands-on-keys” interrogator of data, assumptions, models, and calculations to develop and implement changes as needed
+ Passion and drive to operational excellence and quality delivery.
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:
$70,000-$140,0000 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.
About the Company:
Huntington National Bank
