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Sr Quantitative Analytics Associate - Fair and Responsible Banking Analytics Job in Cleveland, Ohio US
Monster
 
 
 
 

Job Summary

Company
KeyBank NA
Location
Cleveland, OH
Industries
Government and Military
Job Type
Full Time
Employee
Years of Experience
2+ to 5 Years
Job Reference Code
84080181

Sr Quantitative Analytics Associate - Fair and Responsible Banking Analytics

About the Job

Location:
127 Public Square - Cleveland, Ohio 44114

ABOUT THE JOB

The Sr. Quant Analytics Associate will be a member of the Fair and Responsible Banking ("FARB") Analytics team within Compliance Risk Management ("CRM").As part of Key's second line of defense CRM function, the FARB Analytics Sr. Quant Analytics Associate will provide support to the FARB Compliance Management System, assisting the Analytics Director and Quant Analytics Manager with FARB analytics program development, enhancement, and execution. The Sr. Quant Analytics Associate's primary responsibilities may include but not limited to developing and executing FARB quantitative/statistical analysis and regression models across multiple lines of business.The Sr. Quant Analytics Associate will perform oversight activities and assume responsibility for the use of quantitative/statistical analysis to identify and mitigate actions that may expose KeyCorp and its affiliates to FARB compliance risk outside its desired risk appetite. Candidate will work with the FARB teams (Fair Lending, CRA, UDAAP & Complaints) to assess the results of any loan level file review resulting from statistical analysis, partner and establish effective relationships with Line of Business ("LOB"), displaying an ability to explain complex statistical concepts and promote a good rapport with 1st, 2nd, and 3rdLine of Defense Stakeholders throughout the organization. Candidate must exhibit initiative and be able to identify needed enhancements to current process flows and help to implement changes.

ESSENTIAL JOB FUNCTIONS

Extract data from various sources and develop quantitative/statistical analysis and regression models in SAS or similar statistical software using industry standards and FARB methodologies.
Perform research and development related to FARB risk monitoring and regression model review.
Prepare reporting of analysis and results and present the information in non-technical terms.
Prepare regression model documentation and work with Model Risk Management to ensure soundness of the FARB statistical regression models.
Proactively identify process improvements or control gaps and facilitate necessary associated changes.
Develop and maintain strong, collaborative relationships with applicable stakeholders to identify suitable internal controls to ensure compliance with laws and regulations.
Maintain a sound understanding of policies/guidelines for underwriting, pricing, etc., business processes and associated risks with respect to LOBs.
Timely escalate issues and exceptions to management in accordance with procedures and/or based on sound judgment.
Follow through with LOB management and/or appropriate compliance risk personnel to ensure appropriate corrective action is taken to sufficiently address findings/issues to prevent ongoing systemic issues.
Participate in or lead various projects related to mitigating risk to Key.

REQUIRED QUALIFICATIONS

Master's degree (or its equivalent) in a quantitative field (e.g., statistics, economics, engineering).
3 to 5+ years of applied statistical and analytics experience in financial services or similar work related to graduate school experience; at least 2+ years specifically focused on fair lending analytics design, build and use.
Demonstrated proficiency in analytical programming (e.g., SAS (preferred), R, Python).
Experience in developing, implementing, and evaluating linear/logistic regression models.
Excellent communication (verbal and written) skill and the ability to communicate complex statistical methodologies in a non-technical way.
Experience working for a bank, consumer financial product company such as a non-depository mortgage lender, banking regulator or other related government regulatory or enforcement agency a plus.
Experience with machine learning/artificial intelligence models a plus.
Experience with Tableau a plus.
Must possess initiative, be a self-starter, ability to multitask and adapt quickly to change or shifting priorities, have a high attention to details and accuracy and work in a fast-paced, changing environment.
Proven ability to work in a team environment.
Complies with all KeyBank policies and procedures, including without limitation, always acting professionally, conducting business ethically, avoiding conflicts of interest, and acting in the best interests of Key's clients and Key.

DATA LITERACY

Working knowledge of:
Different types of data and techniques for managing these data structures

Ability to:
Assist / guide others in information retention, coordination with data stewards, and anticipation of process/procedure needs
Link conclusions based on data analysis to business impacts
Define processes for integrating and repurposing data analyses

TECHNOLOGY & TECHNIQUES

Advanced Microsoft Office Suite
SQL/NoSQL
Relationship data structure
Selecting and retrieving data including unstructured data retrieval, archival, and ETL
Databases

Advanced Python/R/SAS:
Databases
Efficient coding
Can build strong code controls and translate code into high-level commentary

Understanding of and ability to leverage:
Cloud-based computing
Distributed computing

MODEL BUILDING & MAINTENANCE

Understands and can leverage:
Optimization techniques and supporting numerical analysis requirements in algorithms / models

Ability to:
Interpret performance and reliability of assumptions; identify when to escalate
Leverage and lead the design of advanced modeling approaches
Develop / design standard techniques for data inference and performance perspectives
Determine use requirements based on business processes
Identify and employ best practices in implementation

EXPECTED COMPETENCIES

Leadership: Emerging leader across team; Role model to others - may coach and develop; Provides direction/mentorship to junior staff
Partnering / Influencing: Proven relationship building ability; Strong interpersonal skills; Can lead the conversation with partners in the business, technology, etc.; Sought out to by business partners and team members; May coach and develop relationship building skills in others; Developing comfort with influencing and consulting typically with mid-level leaders
Business Acumen: Understands assigned LOB strategy; Knows our competition and industry; Possesses intellectual curiosity; Understands key drivers of financial results and business impact; Aware of the competitive environment
Critical Thinking / Problem Solving: Leverages critical thinking and business acumen to provide solutions to increasingly more complex problems; Understands impacts / intersections with other business partners / LOBs; Aware of potential pitfalls with each recommended solution; thoroughly vets and thinks through options before making a decision
Communication: Strong writing skills; organizes material for brevity, persuasiveness, and impact; Effectively communicates key points to respective stakeholders, with the right amount of detail; Proactively shares information beyond those at the table who may have a need to know; Comfortable in situations where conflict is present; Demonstrated presentation development and delivery skills; Ability to create presentations that include the right data / information and tell the right story

Job Posting Expiration Date: 08/01/2025

KeyCorp is an Equal Opportunity Employer committed to 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.

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 HR_Compliance@keybank.com

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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