KeyBank Model Risk Quant/Modeling Associate in Cleveland, Ohio
Model Risk Quant/Modeling AssociateinCleveland, OHatKey Bank- Corporate
Date Posted: 3/25/2020
Employee Type: Full-Time
Location: 127 Public Square Cleveland, OH
Job Type: Banking
Experience: Not Specified
Date Posted: 3/25/2020
Headquartered in Cleveland, Ohio, KeyCorp (Key) is one of the nation s largest financial services companies. Key provides investment management, retail and commercial banking, consumer finance and investment banking products to individuals and companies throughout the United States and, for certain businesses, internationally.
Our goal is to be the best regional bank in the U.S. What that means is we put our clients needs first and take a customized approach to meeting those needs. At Key we ve made a promise to our clients that they will always have a champion in us. To deliver on that promise, we re committed to building a team of engaged employees who do the right thing for our clients and help them achieve their financial goals each and every day.
About the Job
Conduct independent periodic reviews/validations and assessments of KeyBank s models in compliance with regulatory and KeyBank s independent model validation/review policies and guidelines.
Essential Job Functions
Understand and assess appropriateness of models data structures, transformations, data controls, and implementation process.
Understand the conceptual framework and assumptions of models, quantitative methods, analytics, machine learning algorithms, and how those are used in the business decision-making process
Assess mathematical and technical considerations for assumptions, limitations, and performance used in models and quantitative methods.
Vet and verify implementation of models and quantitative methods to ensure intended use.
Assess adequacy of monitoring, maintenance, and documentation of models and quantitative methods.
Understand and assess control environment a model is operated under. When needed, test and opine on appropriateness and effectiveness of the controls associated with models.
Identify and escalate risks and issues identified, and effectively document the testing and conclusions.
Follow model risk management policies, programs and procedures and assess emerging risks associated with models.
Build and sustain positive working relationships with model stakeholders (model owners, business line users, model developers, and management) to communicate risks and issues identified. Demonstrate in area of expertise.
Effectively explain model insights to peers/management within Model Risk and/or any quantitative/analytic community.
Understand upstream & downstream impacts of models, business strategy related to models, and the business of banking at a high level.
Carry out risk-mindset in each review/validation project and be able to balance risk vs reward.
Bachelor s degree or Master s degree in Mathematics, Economics, data sciences , Statistics, financial engineering, Finance or other quantitative field.
3+ years of industry experience (2+ years with Master s or PHD) in model development or validation in credit risk, market risk, treasury, fraud, or marketing, or quantitative models and methods, or other comparable experience.
Strong written and verbal communication skills
Working experience of SQL
Prior knowledge of one of the following scientific computing / statistical programming languages (such as Python, R, SAS)
Ability to work both independently and collaboratively with team members and internal stakeholders
Prior experience in Python or R programming languages
Prior experience of implementing machine learning models and methods, and designing tools to understand their risks and limitations
Leadership skills – ability to mentor junior team members
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.