Fraud Data Scientist Ii

Truist Bank

Multiple Locations
On-site
Statistical and predictive analytics
Machine learning modeling
Data visualization
Truist Bank is seeking a Fraud Data Scientist II to perform advanced analytics and provide insights that minimize risk and improve business outcomes. The ideal candidate should have a strong background in data science, machine learning, and statistical methods, along with experience in the financial industry

Job Summary

  • Perform sophisticated analytics to provide actionable insights that improve business outcomes and minimize risk.
  • Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
  • Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.

Matching Summary

Match Score: 85

Truist Bank is seeking a Fraud Data Scientist II to perform advanced analytics and provide insights that minimize risk and improve business outcomes. The ideal candidate should have a strong background in data science, machine learning, and statistical methods, along with experience in the financial industry.

Skills & Requirements

Must-have

  • Statistical and predictive analytics
  • Machine learning modeling
  • Data visualization
  • Custom code deployment (Python, SAS, R)
  • Stakeholder engagement
  • Risk management culture

Nice-to-have

  • Emerging methods and technologies
  • Collaboration through code repositories

Key Requirements

  • Bachelor's degree and 4+ years of experience in a quantitative field
  • Understanding of statistical methods
  • Familiarity with linear algebra and calculus
  • Understanding of data cleansing and preparation
  • Strong familiarity with data extraction (SQL, JQuery)
  • Working knowledge of Hadoop, Pig, Hive, NoSQL, Spark
  • Experience managing multiple projects with tight deadlines

Work Rights

Not specified

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