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Principal Associate, Data Scientist - Model Risk Office - Job Opportunity at Capital One

McLean, USA
Full-time
Senior
Posted: January 19, 2025
On-site
USD 158,600 - 181,000 per year

Benefits

Comprehensive health insurance program aligned with Fortune 200 standards
Performance-based incentive compensation including cash bonuses
Long term incentives (LTI) opportunities
Total well-being support package
Flexible work arrangements based on role requirements

Key Responsibilities

Lead model risk assessment and validation initiatives across enterprise systems
Drive statistical modeling and machine learning implementation for risk management
Partner cross-functionally to develop and deploy advanced analytics solutions
Translate complex technical concepts into actionable business insights
Guide strategic decision-making through data-driven analysis
Develop and maintain machine learning models throughout their lifecycle

Requirements

Education

Bachelor's Degree plus 5 years experience or Master's Degree plus 3 years experience or PhD

Experience

Minimum 1 year in machine learning, data analysis, and relational databases

Required Skills

Machine learning expertise Statistical modeling Python/Scala/R programming AWS cloud computing SQL database management Large-scale data analysis Model validation Cross-functional collaboration
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Sauge AI Market Intelligence

Industry Trends

Financial services sector is experiencing rapid adoption of AI/ML for risk management, creating increased demand for model validation expertise Regulatory scrutiny of AI models is intensifying, particularly in banking, driving need for sophisticated validation frameworks Cloud-native model development and deployment becoming standard practice in enterprise environments

Salary Evaluation

The offered salary range is competitive for the DC metro area but slightly below similar roles at top tech companies. However, the total compensation package including bonuses and LTI makes it market competitive

Role Significance

Typically part of a specialized team of 5-8 model risk professionals, working closely with broader data science and risk management teams
Principal Associate level indicates senior individual contributor role with significant technical depth and strategic influence

Key Projects

Enterprise model validation frameworks Regulatory compliance initiatives Advanced analytics implementation Risk management system modernization

Success Factors

Deep understanding of statistical modeling and machine learning algorithms Strong regulatory awareness and risk management perspective Ability to balance technical expertise with business impact Excellence in stakeholder communication and influence

Market Demand

Very high demand with growing regulatory requirements for model validation in financial services and increasing complexity of AI/ML models

Important Skills

Critical Skills

Statistical modeling expertise for risk assessment Machine learning validation methodologies Regulatory compliance understanding Large-scale data processing

Beneficial Skills

Cloud architecture knowledge DevOps practices Risk management frameworks Financial domain expertise

Unique Aspects

Focus on model risk combines technical depth with regulatory importance
Opportunity to work on enterprise-scale ML systems
Strong emphasis on tool building and automation

Career Growth

Typical progression to director level in 3-5 years with demonstrated impact

Potential Next Roles

Director of Model Risk Head of Risk Analytics Chief Risk Officer Technical Fellow

Company Overview

Capital One

Capital One has transformed from a credit card company to a technology-driven financial services leader with significant investments in AI/ML capabilities

Fortune 200 company with strong reputation for technical innovation in financial services
Major technology hub in McLean with significant investment in data science talent
Technology-forward culture with emphasis on innovation and data-driven decision making
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