At Schwab, the business problem is to enhance the company's ability to fight financial crime by leveraging predictive modeling and data science expertise to deliver new tools and capabilities.
Requirements
Advanced proficiency in SQL
Advanced proficiency in Python
Proficiency in applied AI and Machine Learning
Familiarity with GCP
Experience in data science and machine learning in fraud risk, payments or financial services domain
Responsibilities
Developing models within the fraud space
Developing modeling solutions supporting high value initiatives
Building and maintaining predictive models
Developing other advanced analytics solutions that solve problems and provide meaningful business value
Establishing yourself as a strategic, long-term partner and not just a modeling service
Working collaboratively with internal and external partners to develop modeling solutions
Developing transaction channel specific and behavioral modeling solutions
Other
M.S. in a quantitative field
5+ years of experience in analytics, data science or related role
Solid communication skills with ability to translate mathematical and statistical concepts into easily understood language
Curiosity and enthusiasm to learn new tools and techniques
Ability to work collaboratively with internal and external partners
