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Quant Analytics Lead Associate - Job Opportunity at KeyBank National Association

Various, USA
Full-time
Mid-level
Posted: February 2, 2025
Remote
USD 70,000 - 120,000 per year

Benefits

Comprehensive benefits package including health insurance
Short-term incentive compensation
Deferred incentive compensation
Mobile/Remote work flexibility
Industry-standard financial sector benefits

Key Responsibilities

Develop and validate predictive and machine-learning models for business needs
Conduct autonomous quantitative analysis and hypothesis testing
Create and maintain data structures and transformations
Implement statistical analysis and machine learning solutions
Drive continuous model improvements and process optimization

Requirements

Education

Bachelor's degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines

Experience

2 years relevant experience; 1 with Master's or PhD

Required Skills

Advanced Microsoft Office Suite SQL/NoSQL Advanced Python/R/SAS Cloud-based computing Distributed computing Statistical analysis Machine learning Data structure creation Hypothesis testing Root-cause analysis Model development
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Industry Trends

Financial institutions are increasingly prioritizing automated decision-making systems, driving high demand for quantitative analysts with machine learning expertise The shift towards cloud-based analytics platforms is reshaping how financial data is processed and analyzed Integration of alternative data sources in financial modeling is becoming a key differentiator for banks

Salary Evaluation

The offered range of USD 70,000-120,000 is competitive for a mid-level quantitative role in the banking sector, with the upper range reflecting advanced degree holders or specialized expertise

Role Significance

Typically part of a 5-10 person analytics team, collaborating with business units and risk management teams
Mid-level position with significant autonomy in model development and validation, indicating growing leadership responsibilities

Key Projects

Risk modeling and validation for regulatory compliance Customer behavior prediction models Process automation and efficiency initiatives Portfolio optimization algorithms

Success Factors

Strong foundation in statistical methods and machine learning Ability to translate complex technical concepts for business stakeholders Proactive problem identification and solution development Balance between technical excellence and business impact

Market Demand

High demand with strong growth trajectory due to increasing adoption of AI/ML in financial services and regulatory requirements for sophisticated risk models

Important Skills

Critical Skills

Machine learning expertise for predictive modeling Statistical analysis for risk assessment Programming skills in Python/R/SAS Data structure design and optimization

Beneficial Skills

Cloud computing knowledge Visualization tools Financial domain knowledge Project management capabilities

Unique Aspects

Combination of traditional banking stability with modern analytics focus
Emphasis on model risk management indicates regulatory importance
Remote work flexibility unusual for banking sector

Career Growth

2-3 years in role before advancement, depending on project impact and leadership development

Potential Next Roles

Senior Quantitative Analyst Analytics Team Lead Data Science Manager Risk Analytics Director

Company Overview

KeyBank National Association

KeyBank is a major regional bank with significant investment in digital transformation and analytics capabilities

Among top 20 U.S. banks by assets, known for strong retail banking presence and growing digital capabilities
Strong presence in the Midwest with expanding national operations
Traditional banking environment evolving towards technology-driven operations with emphasis on innovation and work-life balance
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