Description
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 dozens of interest rate scenarios to identify potential risks and recommend actions to mitigate that risk. From our position we track every line of business, and we keep a pulse on how the bank is performing overall, and we need smart and talented individuals to help us improve our forecasts.
We are recruiting for a Treasury Analytics and Modeling Manager who will be the manager and intellectual owner of the team’s forecasting methodology for key areas of the bank’s balance sheet with statistical know-how and business sense. Responsibilities include, but not limited to the following:
- Manage a group of modeling analysts with a focus on certain portfolios on balance sheet
- Work closely with appropriate product owners to deeply understand the business dynamics of our products
- Develop models and assumptions that translate those real-world dynamics into mathematical representations of behavior. Our forecasts focus on account acquisition, loan prepays, deposit rates paid/offered, and deposit balance retention
- Make and defend key tradeoffs between model accuracy and complexity, in line with the BSM team’s overall strategic objectives
- Lead the group to work closely with our BSM Production team to ensure models are appropriately implemented in our cashflow forecasting engine (currently QRM)
- Provide ongoing monitoring of models 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
- Be aware of changes in product management strategy and maintain a perspective for when existing models conceptually diverge from their stated objectives
Required Qualifications:
- Five years of experience managing production-ready models over the modeling lifecycle (requirements gathering, data preparation, model development, documentation, and ongoing monitoring/refreshes)
- Demonstrated familiarity in the statistical techniques of time series, decay, and/or prepay models
- 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 Microsoft Office products, especially Excel (advanced)
- Master’s degree in a quantitative field (economics, mathematics, statistics, physics, etc.) with 5+ year relevant experience or bachelor’s degree with 8+ year relevant experience
Preferred Qualifications:
- Experience in model governance activity per risk management frameworks typical at banks >$50 bn 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
- Ph.D. in a quantitative field (economics, mathematics, statistics, physics, etc.).
#LI-Remote
Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)
Yes
Workplace Type:
Remote
Huntington is an equal opportunity and affirmative action employer and is committed to providing equal employment opportunities for all regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, veteran status, gender identity and expression, genetic information, or any other basis protected by local, state, or federal law.
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