Senior Data Science Leader, AML Modeling & Insights

Capital One; Chicago (IL); On-site; USD 209,000 - 238,500; Full time

Benefits offered by this job

Performance-based bonuses

Comprehensive health benefits

Inclusive company culture

Job summary

Capital One is seeking a Data Scientist in Chicago to leverage advanced analytics for enhancing their anti-money laundering initiatives. The role involves collaborating with data scientists and engineers to develop machine learning models and insights from vast datasets.

The ideal candidate will possess strong quantitative skills, including a relevant degree and significant experience in data analytics and machine learning. Competitive salary and comprehensive benefits are included.

Qualifications

• 7 years of experience performing data analytics with a Bachelor's.
• 5 years of experience performing data analytics with a Master's or MBA.
• 2 years of experience working with machine learning.
• Experience with relational databases is essential.

Responsibilities

• Partner with a cross-functional team to deliver valuable insights.
• Leverage technologies to analyze huge volumes of data.
• Build and deploy machine learning models for transaction monitoring.

Skills

Python

Machine Learning

Statistical Analysis

Data Analysis

AWS

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field or MBA

PhD in a quantitative field

Tools

H2O

Spark

Snowflake

Job description

Capital One is seeking a Data Scientist in Chicago to leverage advanced analytics for enhancing their anti-money laundering initiatives. The role involves collaborating with data scientists and engineers to develop machine learning models and insights from vast datasets.

The ideal candidate will possess strong quantitative skills, including a relevant degree and significant experience in data analytics and machine learning. Competitive salary and comprehensive benefits are included.