Model Risk Quant Analytics Manager

KeyBank; Cleveland (OH); Hybrid; USD 112,000 - 150,000; Full time

Job summary

A leading company in banking is seeking a Model Risk Quant Analytics Manager to conduct validations of high-impact models, specializing in fraud detection and machine learning. The candidate will mentor team members and ensure compliance with regulatory policies, reporting to senior management and engaging in critical project oversight. This role is integral to the development and assessment of KeyBank’s modeling strategies.

Qualifications

• 3+ years model development/validation in financial crimes or fraud applications.
• Strong knowledge of advanced analytics, machine learning, and statistics.
• Excellent written and oral communication skills.

Responsibilities

• Conduct independent validations of high impact models in fraud detection.
• Mentor junior validators on best practices for advanced analytics.
• Oversee critical projects and liaise with stakeholders.

Skills

Python

R

Machine Learning

Data Analysis

Statistics

Communication

Education

PhD/Master’s in computer science, mathematics, data science, or related field

Tools

AWS

Azure

GCP

BigQuery

PySpark

Job description

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Location:

127 Public Square - Cleveland, Ohio 44114

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 have a focus on the application areas of Fraud Detection, Anomaly Detection, and Identity Authentication, but will also allow exposure to other application areas in credit risk decisioning, marketing, and others. The role necessitates a requisite background on fraud/authentication typology and risks coupled with the appropriate technical skill set for advanced analytics and machine learning. The person in this role will be viewed as a subject matter expert in the fraud and authentication area with the ability to carry out activities with a highly specialized technical skill set in advanced analytics, machine learning and modeling. The position will be responsible for direct and indirect project leadership, and mentoring others on best practices for machine learning and advanced analytics within the team.

Essential Job Functions

• Act as a member of the validation team to complete in-depth technical validations and reviews of models in the fraud, identity authentication, anomaly detection, amongst other functional areas.
• Leverage relevant industry expertise on fraud/authentication typologies and risks to evaluate model suitability for use and leveraging best practices for model use.
• Employ and assess advanced analytics and machine learning approaches for design suitability, appropriate performance, and necessary diagnostics (e.g. optimization, hyperparameter tuning, interpretability, etc.)
• Review and challenge the conceptual framework, assumptions, limitations, technical soundness, fitness-for-use, and monitoring of KeyBank’s high impact models.
• Verify the correct model implementation through review and understanding of version control software.
• Oversee critical projects on high impact models, plan and organize project scope, liaison with stakeholders, and evangelize on best practices.
• Mentor junior model validators within the team on best practices.
• Verify the model has been properly documented, and produce documentation of the validation testing and results robustly for internal and external communications.
  
  
  

Required Qualifications

• PhD/Master’s in computer science, mathematics, data science, statistics, applied mathematics, finance, economics, or other related field
• 3+ years of model development or model validation experience in high impact models within financial crimes and fraud applications (e.g. Fraud, Identity Authentication, Anomaly Detection, , etc.)
• 7+ years of model development or model validation experience preferred (relevant academic experience can be considered)
• Strong working knowledge of Python, R, Matlab or other programming languages for computational/statistical learning
• Advanced knowledge of data science, machine learning, statistics, mathematics and artificial intelligence theory and applications
• Preferred experience with productionizing machine learning development, monitoring and implementation in cloud technologies (e.g AWS, GCP, Azure, or others)
• Preferred experience with modern data pipelining practices and tools (e.g. Data Proc, BigQuery, Spark/PySpark, and others)
• Excellent written and oral communication skills
• Proficiency in the use of Microsoft Office
• Ability to perform multiple tasks simultaneously to meet strict deadlines
• Mentoring experience of junior staff experience
• Effective working both independently and as a team-member
  
  
  

Compensation And Benefits

This position is eligible to earn a base salary in the range of $112,000 to $150,000 annually depending on 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.

Please click here for a list of benefits for which this position is eligible.

Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment. As a result, this role may be Mobile or Home-based, which means you may work primarily either at a home office or in a Key facility to perform your job duties.

Job Posting Expiration Date: 07/02/2025 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 [e-mail].

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Banking

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