✦ Luna Orbit — Data & Analytics

Data Scientist II (Fraud Strategy)

at Truist Financial

📍 2 Locations Unknown Posted March 13, 2026
Type Full-Time
Experience mid
Exp. Years 4+ years
Education Bachelor's degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science
Category Data & Analytics

This role involves performing sophisticated data analytics, developing predictive models, and providing insights to improve business outcomes in a financial services environment.

  • Perform advanced data analytics
  • Develop predictive models
  • Create data visualizations
  • Collaborate with stakeholders
  • Deploy analytics solutions

Utilizes statistical, machine learning, neural networks, and natural language processing techniques using Python, SAS, and R to analyze structured and unstructured data.

The ideal candidate is a mid-level data scientist with 4+ years of experience in statistical and predictive analytics, proficient in Python, SAS, and R, with strong communication skills and stakeholder engagement experience.

Bachelor's degree4+ years experiencequantitative fielddata analyticsmachine learningpredictive modeling
neural networksnatural language processingeconometricsdata visualization
PythonSASRinternal code repositories
PythonSASRstatistical analyticspredictive analyticsmachine learningneural networksnatural language processingdata visualizationeconometricsstructured dataunstructured datacode repositories
PythonSASRstatistical analyticspredictive analyticsmachine learningneural networksnatural language processingdata visualizationeconometricsstructured dataunstructured datacode repositories
communicationstakeholder engagementproblem-solvingindependent worktechnical collaboration
Industry Financial Services
Job Function Data science and analytics for fraud strategy and risk management
Data Scientistmachine learningpredictive analyticsnatural language processingneural networksPythonSASRdata visualizationeconometricsstructured dataunstructured datacode repositoriesanalyticsstatistical modelingstakeholder communication

Less than 4 years of experience, Lack of experience with Python, SAS, or R, No experience in predictive analytics or machine learning, No bachelor's degree in a quantitative field

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