Model Risk Quant Analytics Manager

KeyBank; United States; Remote; USD 112,000 - 150,000; Full time

Job summary

A leading bank is seeking a Model Risk Quant Analytics Manager to oversee and validate models related to fraud and compliance. This mid-senior level role requires expertise in advanced analytics, machine learning, and financial model validation, while also leading projects and mentoring junior team members. The successful candidate will have strong technical skills, exceptional communication, and a solid educational background in related fields.

Qualifications

• 3+ years of model validation or development experience in financial crimes and fraud models.
• 7+ years relevant experience preferred.
• Ability to work independently and in teams.

Responsibilities

• Conduct technical validations and reviews of models in fraud and identity authentication.
• Lead critical projects and coordinate with stakeholders.
• Mentor junior validators on best practices.

Skills

Python

R

Machine Learning

Data Science

Statistics

AI

Excellent Communication

Education

PhD/Master’s in Computer Science

Master’s in Mathematics

Master’s in Data Science

Master’s in Statistics

Master’s in Finance

Master’s in Economics

Tools

AWS

GCP

Azure

DataProc

BigQuery

Spark

Job description

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Location: 127 Public Square - Cleveland, Ohio 44114

About The Job (Job Brief)

Serves as a senior, experienced technical expert to conduct independent validations of KeyBank’s high-impact models (e.g., Fraud, Authentication, Machine Learning, Artificial Intelligence, Loss Forecasting, Compliance, etc.) in compliance with regulatory and KeyBank’s model validation policies and guidelines. The role will focus on Fraud Detection, Anomaly Detection, and Identity Authentication, with exposure to other areas like credit risk decisioning and marketing. The candidate should have a background in fraud/authentication risks and technical skills in advanced analytics and machine learning. The role involves project leadership, mentoring, and acting as a subject matter expert in fraud and authentication.

Essential Job Functions

• Conduct technical validations and reviews of models in fraud, identity authentication, anomaly detection, etc.
• Evaluate model suitability using industry expertise on fraud/authentication risks.
• Apply advanced analytics and machine learning techniques for design, performance, and diagnostics.
• Review and challenge model frameworks, assumptions, limitations, and technical soundness.
• Verify model implementation through version control review.
• Lead critical projects, coordinate with stakeholders, and promote best practices.
• Mentor junior validators on best practices.
• Ensure proper documentation of validation testing and results.

Required Qualifications

• PhD/Master’s in computer science, mathematics, data science, statistics, finance, economics, or related field.
• 3+ years of model validation or development experience in financial crimes and fraud models.
• 7+ years of relevant experience preferred.
• Proficiency in Python, R, Matlab, or similar.
• Strong knowledge of data science, machine learning, statistics, and AI.
• Experience with cloud technologies (AWS, GCP, Azure) and data pipelining tools (DataProc, BigQuery, Spark).
• Excellent communication skills.
• Proficiency in Microsoft Office.
• Ability to multitask and meet deadlines.
• Mentoring experience.
• Ability to work independently and in teams.

Compensation and Benefits

Salary range: $112,000 - $150,000 annually, plus incentives. This role may be mobile or home-based, depending on the role requirements.

Application deadline: 07/02/2025

KeyBank is an Equal Opportunity Employer. Reasonable accommodations available upon request.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Research, Analyst, IT
• Industry: Banking