Truist Bank is seeking a Data Scientist I focused on fraud analytics, responsible for developing models and providing insights to combat fraud and improve identity verification processes. The ideal candidate will have a background in quantitative fields and experience with data analytics techniques, machine learning, and programming languages
Job Summary
Responsible for leading and administering the model analytics function of the Fraud for Truist.
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk.
Exercise sound judgment and fosters risk management culture throughout design, development, and deployment practices.
Matching Summary
Match Score: 85
Truist Bank is seeking a Data Scientist I focused on fraud analytics, responsible for developing models and providing insights to combat fraud and improve identity verification processes. The ideal candidate will have a background in quantitative fields and experience with data analytics techniques, machine learning, and programming languages.
Skills & Requirements
Must-have
Statistical and predictive analytics
Machine learning modeling
Data visualization
Custom code deployment (Python, SAS, R)
Stakeholder engagement
Nice-to-have
Emerging methods and technologies adoption
Risk management culture
Cross-functional team collaboration
Key Requirements
Bachelor's degree in quantitative field or equivalent
Understanding of statistical methods
Familiarity with linear algebra and calculus
Data cleansing and preparation methodologies
Strong SQL experience
Working knowledge of Hadoop, Pig, Hive, NoSQL, Spark