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Quantitative Analytics Associate in Cleveland, OH at KeyBank

Date Posted: 9/30/2020

Job Snapshot

  • Employee Type:
  • Location:
    100 Public Square
    Cleveland, OH
  • Date Posted:

Job Description

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.

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)

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

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

Advanced Microsoft Office SuiteNavigation, 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

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)

Leadership: Works under general direction / supervision; may work independently, but often needs ongoing guidance and support
Partnering / 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 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


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.


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