Lead Data Science for Cash-Flow Underwriting

Capital One National Association; McLean (VA); On-site; USD 229,900 - 262,400; Full time

Benefits offered by this job

Comprehensive health benefits

Performance-based incentive compensation

Inclusive team culture

Job summary

A leading financial institution in McLean, VA is seeking a Senior Manager for Data Science to lead their Cash Flow Underwriting Team. The role involves leveraging advanced machine learning techniques to create predictive models, guiding a team of specialists, and collaborating with cross-functional teams. Candidates should have a strong background in data analytics, machine learning, and quantitative fields. This position offers a competitive salary and opportunities for performance-based incentives.

Qualifications

• Bachelor’s Degree plus 7 years experience in data analytics.
• Master’s Degree or MBA with 5 years experience in data analytics.
• PhD with 2 years experience in data analytics.
• 2 years experience using open source programming languages for large scale data analysis.
• 2 years experience working with machine learning.

Responsibilities

• Lead a team of specialists in identifying cash flow patterns.
• Build machine learning models through all phases of development.
• Collaborate with data scientists, software engineers, and product managers.

Skills

Machine learning

Data analysis

Statistical modeling

Python

AWS

Education

Bachelor’s Degree in a quantitative field

Master’s Degree in a quantitative field or MBA

PhD in a quantitative field

Tools

Python

AWS

H2O

Spark

Job description

A leading financial institution in McLean, VA is seeking a Senior Manager for Data Science to lead their Cash Flow Underwriting Team. The role involves leveraging advanced machine learning techniques to create predictive models, guiding a team of specialists, and collaborating with cross-functional teams. Candidates should have a strong background in data analytics, machine learning, and quantitative fields. This position offers a competitive salary and opportunities for performance-based incentives.