Location:

4900 Tiedeman Road - Brooklyn, Ohio 44144-2302

ABOUT THE JOB (JOB BRIEF)

Under direct supervision, the Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to support the development and validation of predictive and machine-learning models for specific business needs. The Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?”. Projects undertaken by the Quantitative Analytics Associate are often broad in scope across multiple business segments and involve evaluation and testing on existing data with substantial team support. Success factors include: timely and effective completion of tasks assigned by manager under significant supervision; building functional knowledge in analytical programming languages, data literacy, and model development; developing communication skills, business acumen, and critical thinking; and establishing relationships with the working team.

ESSENTIAL JOB FUNCTIONS

Conduct quantitative analysis on large data sets with manager and team supportIdentify common data errors and their impactEmploy basic best practices for evaluating large dataAnswer key business questions through exploration and discoveryFind patterns or anomalies by building out visualizationsExecute basic diagnostics testing under supervision (e.g. performance testing, assumption verification and impacts of limitations)Tests, under supervision, suitability / sufficiency for approach (e.g. representativeness)

REQUIRED QUALIFICATIONS

Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 1 year of relevant experience; 0 with Master’s or PhD

DATA LITERACY

Understanding of:Data wrangling including information documentation and importing data from different formatsDescriptive statistics, random variables, common distributions, outliersAbility to consume, explore, and evaluate big data; can leverage this skill to inform business questions

TECHNOLOGY & TECHNIQUES

Advanced Microsoft Office SuiteNavigation, shortcuts, use and share spreadsheet documentsPython/R/SAS:Perform IDE walk-through; shortcutsConnect to data basesUse functions such as classes, variables, lists, and classesProgram files, modules, and libraries

MODEL BUILDING & MAINTENANCE

Familiar with concepts and usage of Data Leakage, Training, Testing, and Validation Sets for model buildingAble to perform basic diagnostics testingUnderstanding of:Foundational statistical / measurement concepts, methods, and techniquesBasic uses, scope, features, benefits, and risks of available modeling methods)

EXPECTED COMPETENCIES

Leadership: Works under general direction / supervision; may work independently, but often needs ongoing guidance and supportPartnering / Influencing: Limited business partner interaction – work typically assigned by manager; Developing relationship building ability and interpersonal skills; Engage and interact mostly with immediate team and peers; Developing influencing skillsBusiness Acumen: Developing basic understanding of business partner strategy; Building financial acumenCritical Thinking / Problem Solving: Developing critical thinking skills; Can analyze simple issues with low complexity; Can give perspective to the team addressing basic business/analytical problems and challenges; Recognizes need to escalate issues in a timely mannerCommunication: Basic writing skills; beginning to develop ability to organize information in clear, consistent format; Typically needs assistance with articulating a clear, well-thought out message and formal delivery; Minimal skills in creating PowerPoint presentations; limited formal delivery

Job Posting Expiration Date: 10/27/2024

KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category.

 

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