✦ Luna Orbit — Data & Analytics

Data Scientist III-Fraud

at Truist Financial

📍 5 Locations Unknown Posted March 26, 2026
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Position Details

Type Full-Time
Experience senior
Exp. Years Not specified
Education Not specified
Category Data & Analytics

About this role

This role involves performing sophisticated data analytics to identify fraud trends, support investigations, and provide actionable insights. The candidate will work on deep dives into cases and support strategic initiatives within the fraud client experience team.

Key Responsibilities

  • Perform data analytics
  • Conduct root cause analysis
  • Generate trend reports
  • Provide insights to stakeholders
  • Lead small projects

Technical Overview

Focuses on data mining, statistical analysis, predictive modeling, and visualization using tools like Python, SQL, Tableau, and Power BI in a financial services setting.

Ideal Candidate

The ideal candidate is a senior data scientist with expertise in data mining, statistical analysis, and predictive analytics. They have strong skills in data visualization and experience supporting strategic business insights through advanced analytics.

Must-Have Skills

Data analyticsData miningStatistical analysisPredictive analyticsData science

Nice-to-Have Skills

Deep divesTrend analysisData visualizationData consultingProject management

Tools & Platforms

PythonSQLExcelTableauPower BI

Required Skills

Data analyticsData miningStatistical analysisPredictive analyticsData scienceData visualizationPythonSQL

Hard Skills

Data AnalyticsData MiningStatistical AnalysisPredictive AnalyticsData ScienceData EvaluationData ExtractionData VisualizationPythonSQL

Soft Skills

Analytical ThinkingCommunicationStakeholder ManagementProblem-solvingLeadershipCollaboration

Industry & Role

Industry Financial Services
Job Function Analyze fraud data to improve client experience and minimize risk through advanced analytics.
Role Subtype Data Scientist III
Tech Domains Python, SQL

Keywords for Your Resume

data scientistdata analyticsdata miningstatistical analysispredictive analyticsdata sciencedata visualizationdata evaluationPythonSQLbig dataanalyticsdata modelingtrend analysisbusiness insights

Deal Breakers

Lack of experience in data science, No experience with statistical analysis, No proficiency in Python or SQL, Familiarity only with basic analytics, No experience in financial services

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