Manager, Data Science & Model Validation

Capital One

McLean (VA)

On-site

USD 197,300 - 225,100

Full time

14 days+

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Benefits offered by this job

Comprehensive health benefits
Performance-based incentives
Inclusive workplace environment

Job summary

Capital One is looking for a Manager, Data Science for its Model Risk Office. You will validate payment network models, including fraud and Anti-Money Laundering (AML) risks, utilizing advanced statistical techniques and machine learning. Strong communication skills are essential for engaging stakeholders from various backgrounds.

The ideal candidate has a quantitative degree with significant experience in data analytics and machine learning. This role offers a competitive salary and benefits package.

Qualifications

  • 6 years of experience performing data analytics with Bachelor's degree.
  • 4 years with Master's degree or MBA in quantitative field.
  • 1 year leveraging open-source programming for data analysis.
  • 1 year working with machine learning.

Responsibilities

  • Perform independent model validations for payment network models.
  • Validate statistical and machine learning models.
  • Communicate technical subject matter clearly.
  • Develop high quality documentation.

Skills

Data analysis
Machine learning
Statistical modeling
Communication skills

Education

Bachelor's Degree in a quantitative field
Master's Degree in a quantitative field
PhD in a quantitative field

Tools

Python
AWS
Open-source languages
Relational databases

Job description

Capital One is looking for a Manager, Data Science for its Model Risk Office. You will validate payment network models, including fraud and Anti-Money Laundering (AML) risks, utilizing advanced statistical techniques and machine learning. Strong communication skills are essential for engaging stakeholders from various backgrounds.

The ideal candidate has a quantitative degree with significant experience in data analytics and machine learning. This role offers a competitive salary and benefits package.

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