Job Description

Location: 4900 Tiedeman Road - Brooklyn, Ohio 44144-2302ABOUT 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 xe2x80x9cWhat will happen next?xe2x80x9d and xe2x80x9cWhat will we do?xe2x80x9d. 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 support
• Identify common data errors and their impact
• Employ basic best practices for evaluating large data
• Answer key business questions through exploration and discovery
• Find patterns or anomalies by building out visualizations
• Execute 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

• Bachelorxe2x80x99s 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 Masterxe2x80x99s or PhD

DATA LITERACY

• Understanding of:

• Data wrangling including information documentation and importing data from different formats
• Descriptive statistics, random variables, common distributions, outliers
• Ability to consume, explore, and evaluate big data; can leverage this skill to inform business questions

TECHNOLOGY & TECHNIQUES

• Advanced Microsoft Office Suite

• Navigation, shortcuts, use and share spreadsheet documents
• Python/R/SAS:

• Perform IDE walk-through; shortcuts
• Connect to data bases
• Use functions such as classes, variables, lists, and classes
• Program files, modules, and libraries

MODEL BUILDING & MAINTENANCE

• Familiar with concepts and usage of Data Leakage, Training, Testing, and Validation Sets for model building
• Able to perform basic diagnostics testing
• Understanding of:

• Foundational statistical / measurement concepts, methods, and techniques
• Basic 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 support
• Partnering / Influencing: Limited business partner interaction xe2x80x93 work typically assigned by manager; Developing relationship building ability and interpersonal skills; Engage and interact mostly with immediate team and peers; Developing influencing skills
• Business Acumen: Developing basic understanding of business partner strategy; Building financial acumen
• Critical 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 manner
• Communication: 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

COMPENSATION AND BENEFITSThis position is eligible to earn a base salary in the range of $80,000 to $85,000 annually depending on location and job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance.Please click for a list of benefits for which this position is eligible.Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment. As a result, this role may be Mobile or Home-based, which means you may work primarily either at a home office or in a Key facility to perform your job duties.Job Posting Expiration Date: 04/27/2025KeyCorp 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.Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .#LI-Remote

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