KeyBank Quantitative Modeling Analyst in Cleveland, Ohio
Quantitative Modeling AnalystinCleveland, OHatKey Bank- Corporate
Date Posted: 10/3/2018
Employee Type: Full-Time
Location: 127 Public Square Cleveland, OH
Job Type: Accounting Finance Banking
Experience: Not Specified
Date Posted: 10/3/2018
About the Job
For its Model Development (Risk, Modeling and Analytics) group within the Risk organization, KeyCorp is looking for a Quantitative Modeling Associate to build two dimensional risk rating (“2D-RR ) models for its commercial credit portfolios. This individual will independently build and perform qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity.
Essential Job Functions
This individual will participate in quantitative risk modeling projects, including econometric models for credit risk measurement and benchmarking. This individual will use quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.
Ph.D. or Master s degree in economics, finance, mathematics, statistics or other quantitative field.
Experience with commercial lending portfolio risk modeling is a plus
Advanced knowledge of statistics/econometrics.
Working knowledge of SAS or other advanced statistical/econometric analysis software.
Proficiency in the use of Microsoft Office with advanced experience in Excel and SQL.
Excellent analytical ability.
Critical thinkers with business intuition, intellectual curiosity, and ability to execute
Hands-on approach, with proven execution/process skills. Organized and focused on delivering results.
Impeccable integrity, sound judgment, and strategic vision.
Excellent communications skills – internally and externally, including with regulators.
Perform descriptive, predictive, and prescriptive analysis leveraging a variety of statistical techniques (such as segmentation, logistic regression, sensitivity analysis, and machine learning)
Extract data and perform statistical analysis on different size of data using languages such as SAS, R, and SQL
Deliver analytic insights and recommendations in presentations at various levels including executive audience
Strong written and communication skills: ability to clearly articulate ideas to both technical and non-technical audiences
Strong analytical and critical thinking skills
Strong time and project management skills to meet deliverables
Relational databases and SQL programming.
Ability to use advanced statistical and mathematical software to perform statistical estimation on financial data.
KeyCorp's roots trace back 190 years to Albany, New York. Headquartered in Cleveland, Ohio, Key is one of the nation's largest bank-based financial services companies, with assets of approximately $134.5 billion at March 31, 2017. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name. KeyBank is Member FDIC.
ABOUT THE BUSINESS:
KeyBank has administrative services in place that help support the business. These include: Finance, Human Resources, Legal, and Marketing. KeyBank s Corporate Center supports strategic initiatives through multiple teams which provide distinctly different, yet interrelated, disciplines for the Corporate Bank Leadership team and its business groups.
FLSA STATUS: Exempt
KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to engaging a diverse workforce and sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.