Data Analytics Engineer

Overview

Remote
Depends on Experience
Full Time
No Travel Required

Skills

Fraud
Jupyter
Oracle
Python
SAS
SQL
Data Analysis
Workflow
Testing
AML

Job Details

Responsibilities:

  • Build and automate analytics workflows to optimize AML detection models and reduce false positives

  • Conduct statistical analysis and threshold testing to improve model performance

  • Develop Python tools/scripts for data profiling and investigations

  • Write complex SQL to analyze large transactional & customer datasets

  • Collaborate with compliance, risk, and data science teams

  • Document methodologies for audit readiness

Must-Have:

  • Bachelor s or Master s in Data Science, Statistics, CS, or related field

  • 3+ years in data analytics/engineering (AML/Fraud domain preferred)

  • Advanced SQL & Python

  • Strong statistical analysis skills

  • Experience working with AML data (alerts, risk scores, case systems)

Preferred:

  • Familiarity with AML tools (Actimize, SAS AML, Oracle FCCM)

  • Knowledge of BSA/AML regulations & model governance

  • Experience with Jupyter, Airflow, Git

  • Background in model validation/audit in regulated environments

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.