FamilySearch Fraud Prevention Intern

The Church of Jesus Christ of Latter-day SaintsLehi, UT

About The Position

The FamilySearch Fraud Prevention Intern will work with data and analytics to improve the fraud prevention process.

Requirements

  • Strong analytical and problem-solving skills with the ability to interpret complex datasets and identify meaningful trends, anomalies, or suspicious behaviors.
  • Proficiency or coursework experience in programming languages such as Python, SQL, R, or similar analytical tools.
  • Familiarity with exploratory data analysis (EDA), statistical analysis, and data visualization techniques.
  • Paid Interns are qualified while enrolled in an educational institution and for one year following graduation.
  • They must sign a Paid Internship Engagement Letter.

Responsibilities

  • Assist in managing Action Plans by preparing reports, conducting exploratory data analysis (EDA), tracking progress, and documenting findings.
  • Support fraud analytics initiatives by identifying unusual patterns, behaviors, and anomalies in complex datasets.
  • Help develop and test statistical and machine learning methods for fraud and anomaly detection, and contribute ideas for improving existing approaches.
  • Perform data cleaning, transformation, validation, and quality assurance activities on large datasets.
  • Assist with ETL (Extract, Transform, Load) processes and help support data pipelines and analytical workflows.
  • Develop dashboards, summaries, visualizations, and recurring reports for management and operational teams.
  • Acquire and organize data from multiple primary and secondary data sources while maintaining data integrity.
  • Conduct behavior analysis and trend analysis to support investigations and operational decision-making.
  • Support field investigation follow-up by organizing, reviewing, and summarizing findings from investigative documentation.
  • Collaborate with team members to prioritize analytical tasks, contribute process improvement ideas, and support ongoing projects.
  • Document analytical methods, findings, and recommendations for both technical and non-technical audiences.
  • Participate in research and development of new fraud prevention and process improvement opportunities.
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