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DescriptionThis individual will be responsible for providing quantitative analytic support for Huntington’s Card Product Portfolios (Credit and Debit Card) through marketing campaign development and analysis, Credit Risk monitoring and overall portfolio performance analysis. The role will entail analyzing trends and developing insights with an eye towards strategy enhancement. Responsible for using statistical methodology to ensure that testing, learning and production goals are met.
Develop recommendations to optimize new account acquisition strategies by utilizing statistical scoring, segmentation and regression and simulation techniques
Translate complex data from multiple sources, formats and data structure into actionable and tangible strategies
Coaches, develops and leads junior analysts in business analysis, data extraction projects and reporting
Leverages strong storytelling skills to uncover and communicate trends to all levels of the organization
Apply machine learning, data mining, and visualization techniques to make accurate and actionable analyses in a timely fashion.
Balances sound risk management practices with portfolio growth and profitability
Maintains outlook on competitive landscape and translates to potential opportunities within the Bank's portfolio
Collaborates closely with multiple levels of senior management and various business segments (Marketing, Risk Management, Product, Legal, Regulatory Compliance) to make recommendations and influence business decisions
Basic Qualifications
Bachelor’s Degree in business information systems, computer science, mathematical disciplines, finance, economics, or another technical degree.
Minimum of 4+ years of experience in financial services
Minimum of 4+ years of experience using data manipulation tools such as SAS, SQL, R, or Python, Business Objects, or other tools to query large databases and manipulate large data files.
Experience developing and applying statistical or machine learning methods in a corporate environment through applications such as R, python, SAS, SPSS, S, S-PLUS, or Stata
Preferred Qualifications
Credit card lifecycle experience preferable
Experience developing and executing sophisticated credit card marketing analytics, establishing a framework for the delivery of marketing insights and reporting
Advanced degree (ie MBA, MS or PhD) preferred
Experience with business intelligence and data mining tools such as BusinessObjects, Microstrategy, Tableau, Qlickview, and SAS Enterprise Guide/Miner in a corporate or academic environment..
Strong leadership skills and ability to think independently
Ability to multi-task, remain objective and goal-focused under pressure
Ability to think analytically and strategically and balance quantitative methodology and business insights to drive results
Strong verbal, written and communication skills and ability to convey and simplify complex problems and solutions
Proficiency with Microsoft Office product suite (Excel, Word, Powerpoint)
Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)
Yes
Workplace TypeHybrid
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.
Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.
Agency Statement: Huntington does not accept solicitation from Third Party Recruiters for any position
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Research, Analyst, and Information Technology
Industries
Banking, Financial Services, and Investment Banking
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