Senior Quantitative Risk & Analytics Manager (Hybrid)

Huntington Bank

Minnetonka (MN)

Hybrid

USD 93,000 - 189,000

Full time

4 hours ago
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Job summary

Huntington National Bank is seeking a Quantitative Risk Analytics Manager to lead advanced analytics across credit analytics, PPNR, and fair lending. You will develop techniques to evaluate risk and reward for lending products and collaborate with cross-functional teams forecasting balance sheet and income statement elements.

The role requires a master’s degree in a quantitative field and 5+ years in analytics with SQL, SAS, R, and Python.

Qualifications

  • Master’s degree in economics or related quantitative field or equivalent experience.
  • 5+ years of experience in quantitative analytics using SQL, SAS, R, and Python.
  • Experience with Tableau and data visualization for decision support.
  • Strong communication skills and ability to present complex calculations clearly.

Responsibilities

  • Develop quantitative methods for credit risk across consumer and regional banking portfolios using SQL, SAS, R, and Python.
  • Design, deploy, and maintain dashboards and scorecards using Tableau or equivalent BI tools.
  • Gather and assemble data from origination data sources and loan accounting systems for model development.
  • Collaborate with data analytics teams to validate data and propose corrective actions for non-compliance.
  • Support fair lending, capital planning, and stress testing with analytics and models.
  • Lead analytic approaches for credit portfolio management.

Skills

SQL
SAS
R
Python
Tableau
Communication
Excel
Analytical thinking

Education

Master’s degree in Economics/Quantitative/Statistics/Finance

Tools

Tableau
Excel

Job description

Huntington National Bank is seeking a Quantitative Risk Analytics Manager to lead advanced analytics across credit analytics, PPNR, and fair lending. You will develop techniques to evaluate risk and reward for lending products and collaborate with cross-functional teams forecasting balance sheet and income statement elements.

The role requires a master’s degree in a quantitative field and 5+ years in analytics with SQL, SAS, R, and Python.

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