Quant Analytics Sr. Associate- Model Risk

Location :

127 Public Square, Cleveland Ohio

ABOUT THE JOB

As a Senior Quantitative Analytics Associate, you will be responsible for leading independent validations and reviews of the bank's various risk models. This role ensures that models are functioning as intended, comply with regulatory requirements, and that their risks are accurately identified, measured, and reported to senior management. Specifically, you will be performing in-depth validations and reviews of new and existing models used across the bank, including those for fraud risk, compliance risk (such as AML, OFAC), and / or other areas.

ESSENTIAL JOB FUNCTIONS

Perform hands-on quantitative model validation / review. This includes testing the model's conceptual soundness, data accuracy, methodology, and ongoing performance through techniques like backtesting, benchmarking, and stress testing, etc.

Provide an effective challenge throughout the model validation / review to ensure that models are robust, and all assumptions and limitations are justified.

Present findings, weakness and / or observations identified from the validation / review to model developers / owners and provide them with executable finding remediations.

Prepare detailed validation reports and memos that document the validation approach, findings, and conclusions.

Participate in internal audits and regulatory exams by presenting validation results and methodologies and assisting in the remediation of any audit or exam findings.

Act as a subject matter expert on modeling techniques, risk management practices, and regulatory trends. This involves performing research and developing advanced analytical tools or benchmarking models to aid the validation process.

REQUIRED QUALIFICATIONS

Master’s degree (or its equivalent) in a quantitative discipline and at least 3 years of relevant experience; or Bachelor’s degree (or its equivalent) and at least 5 years of relevant experience.

Hands-on experience in statistical and AI / ML model development or validation, with a strong understanding of quantitative modeling methods (including AI / ML algorithms) used for various risk predictive models, such as fraud risk, AML risk models, etc.

Proficiency in programming languages such as Python, R, SQL or SAS.

Excellent written and verbal communication skills to clearly articulate complex technical findings to both technical and non-technical stakeholder.

Knowledge of model risk management policies, procedures, and relevant regulatory guidance (e.g., from the OCC).

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

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $94,000.00 - $175,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation subject to individual and company performance.

This position is eligible to earn a base salary in the range of $100,000 to $135,000 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 here () for a list of benefits for which this position is eligible.

Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Job Posting Expiration Date : 12 / 07 / 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, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.

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.

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