Quantitative Analytics Manager-Model Risk

Location:

ABOUT THE JOB

As a Quantitative Analytics Manager of Model Risk, you are primarily responsible for leading the independent validation of predictive and machine-learning models used across the bank, including those for fraud risk, compliance risk (such as AML, OFAC), etc. This role involves hands-on model validation on the bank's critical high-risk models, validation project leadership and partnership with junior validators, evaluation on model performance and limitations, and communication to stakeholders and regulators regarding findings and recommended improvements.

ESSENTIAL JOB FUNCTIONS

• Perform hands-on model validation/review against the bank's critical high-risk tier models to ensure that models receive effective challenges against the conceptual soundness, data accuracy, methodology, assumptions, limitations, model performance testing and ongoing monitoring to comply with regulatory standards.
• Manage and lead on some of the quantitative validation/review projects by partnering with junior validators and mentoring/guiding/overseeing their work from end to end.
• Lead effective communications with model developers/owners in the 1st line of defense (1LOD) to present findings, weakness and/or observations identified from the validation/review to ensure findings to be properly remediated in a timely manner.
• Prepare detailed validation reports and memos that document the validation approach, findings, and conclusions.
• Build and maintain effective relationships with model owners, business process owners, IT risk departments, compliance, and auditors.
• Ensure models and their documentation meet bank policies, standards, and regulatory guidelines, such as SR 11-7.
• Participate in internal audits and regulatory exams by presenting validation results and methodologies and assisting in the remediation of any audit or exam findings.
• Stay updated on regulatory changes, industry best practices, and emerging quantitative techniques to improve validation methodologies.

REQUIRED QUALIFICATIONS

• Master's degree in a quantitative discipline and at least 5 years of relevant experience; or Bachelor's degree and at least 6 years of relevant experience.
• Substantial hands-on experience in quantitative (including AI/ML) model development or validation on various risk predictive models, such as fraud risk, AML risk models, particularly within banking or financial services.
• Proficiency in programming languages such as Python, R, SQL or SAS.
• Proven ability to lead teams, manage multiple projects, and effectively communicate technical findings to both technical and non-technical audiences.
• 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: Demonstrated leadership; may have direct reports; Assumes accountability for their work; Sought out for advice; Proactively coaches and guides the work of others; Manages the integration of activities typically within own team; Demonstrates executive presence; Offers an opinion, contributes to the conversation
• Partnering / Influencing: Demonstrated ability to engage and partner at mid to senior leadership levels; Established reputation and track record as an effective and collaborative partner; Coaches and develops relationship building skills in others; Demonstrates managerial courage; willing to dissent from others; leverages organizational and professional savvy and persuasive skills to influence others
• Business Acumen: Understands LOB and KeyCorp strategy; Leverages knowledge of our competition and the business to anticipate needs and make recommendations; Understands how business works; Contributes materially to LOB strategy
• Critical Thinking / Problem Solving: Critical thinker: able to anticipate business partner needs; Sees the "bigger picture"; Advises leaders to make informed decisions based on keen critical thinking and problem-solving ability; Sought out for perspective and guidance with tackling challenges; Can make decisions; considers longer term business strategy in recommending solutions
• Communication: Excellent writing skills; develops writing skills in others; Recognizes the need to deliver the right message at the right tie through the right channel; Articulates the broad implications / impact of the message; Anticipates and addresses conflict; Addresses challenging situations; does not shy away from a tough conversation; Strong presentation development; can coach and guide others to get to the appropriate level of detail and send an effective message; Comfortable presenting to senior levels, easily adapts / changes course, presents with confidence; Demonstrates executive presence

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $120,000 to $145,000 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.

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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