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Lead Quantitative Analytics Associate - AML Job in Cleveland, Ohio US

Lead Quantitative Analytics Associate - AML

KeyBank NA - Cleveland, OH

Posted: 7/29/2021 - Expires: 10/27/2021

Job ID: 230041239

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Job Description

Location:
127 Public Square - Cleveland, Ohio 44114

ABOUT THE JOB (JOB BRIEF)

Under some supervision, the Lead Quantitative Analytics Associate is primarily responsible for testing and tuning of Anti-Money Laundering (AML) vendor and in-house Transaction Monitoring models using statistics, advanced mathematical techniques, and/or computer science to develop and validate predictive and machine-learning models for specific business needs. The Lead 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?". Often large, in-scope, projects undertaken by the Lead Quantitative Analytics Associate involve self-directed data analysis and model building in response to a problem statement proposed by a business partner. Success factors include: timely and effective completion of tasks assigned by manager with manager and/or peer guidance; exercising functional knowledge in analytical programming languages, data literacy, and model development; effective communication of insights and data to peers; and developing work autonomy and problem-solving.

ESSENTIAL JOB FUNCTIONS

Create and leverage models, inferential statistics, and prescriptive analysis to proactively address compliance needs; including model development, model tuning, ongoing monitoring, and validation activities related to AML
Develop and advise on the development of new models to improve our monitoring program, including statistical inference, and machine learning
Conduct testing and analysis to determine optimal model settings for the AML models (i.e. Mantas scenarios), including "Above-the-line" and "Below-the-Line" testing
Use critical thinking to use the right approach for each problem statement
Develop the design and/or testing of vendor and in-house models; including inputs, methodologies, processing, ongoing monitoring, and periodic tuning
Explore new methods for ensuring satisfactory output from AML vendor and in-house models
Research, compile and evaluate large sets of data to assess the quality and determine suitability for model building
Adhere to a strict ongoing monitoring schedule; provide analytical results to Model Owners, and assist in evaluating model reliability/performance
Make continuous improvements to data procedures, including data efficiency
Promote increased efficiency of data analysis by advocating clear data requirements
Perform writing, editing, and review of PowerPoint presentations, spreadsheets, and written reports pertaining to modeling activities

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 2 years of relevant experience; or Master's degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 1 years of relevant experience
Understanding of BSA, AML regulatory requirements, technology, and data analysis best practices to guide decision making and execution of screening technology
Experience designing, implementing, and documenting statistical tests
Experience developing, validating, testing, implementing, and tuning Machine Learning models
Intermediate to advanced SQL query skills
Intermediate to advanced skills in a statistical coding language - SAS or Python strongly preferred
Understanding the Pros / Cons of competing analysis methods
Understanding and ability to leverage cloud-based computing, including Google Cloud
Excellent verbal, written, and visual communication skills
Curious mind - able to identify new areas where modeling and analytics could help improve the Compliance program

Preferred Qualifications:

Experience working with AML-related vendor tools, including Mantas and/or Actimize
Experience developing, validating, and tuning models for AML transaction monitoring
ACAMS or similar certification

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.

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 .

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.

Job Summary

Employment Type:
Full Time Employee
Job type:
Federal Contractor
Skill Based Partner:
No
Education Level:
Bachelor's degree
Work Days:
Mon, Tue, Wed, Thu, Fri
Job Reference Code
53871441_2
Salary
N/A
Licenses / Certifications:
N/A
Display Recommended WorkKeys®Recommended WorkKeys®:
N/A