✦ Luna Orbit — Data & Analytics

Senior Business Analyst - Anti-Money Laundering (AML) Modeling

at Capital One Financial

📍 3 Locations Unknown 💰 $101K – $115K USD / year Posted March 27, 2026
Salary $101K – $115K USD / year
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves developing and deploying AML models using advanced analytics, machine learning, and cloud technologies to detect financial crimes.

  • Identify business challenges and opportunities
  • Develop and test AML models
  • Utilize AWS, Snowflake, Python, Spark
  • Monitor model performance
  • Collaborate with cross-functional teams

The technical environment includes Python, Snowflake, Spark, AWS, and machine learning techniques for risk modeling and data analysis.

The ideal candidate is a senior data analyst with experience in anti-money laundering models, proficient in Python, AWS, and Snowflake, with strong analytical and communication skills. They should have a strategic mindset and experience working with financial data and risk models.

PythonAWSSnowflakeMachine LearningData Analysis
SparkStatisticsMonitoringReportingML Models
AWSSnowflakePythonSpark
PythonSnowflakeSparkAWSAmazon Web ServicesStatisticsMachine LearningData SourcingPredictive ModelingMonitoringReporting
PythonSnowflakeSparkAWSAmazon Web ServicesStatisticsMachine LearningData SourcingPredictive ModelingMonitoringReporting
Analytical SkillsStrategic ThinkingCollaborationCommunicationProblem SolvingLeadershipDecision MakingInnovationContinuous Learning
Industry Financial Services / Banking
Job Function Data analysis and modeling for anti-money laundering risk detection
Role Subtype Data Analyst
Tech Domains Amazon Web Services, Python, Snowflake, Spark
Senior Business AnalystAMLAnti-Money LaunderingMachine LearningAWSAmazon Web ServicesSnowflakePythonSparkData SourcingPredictive ModelsMonitoringReportingData AnalysisAnalyticsRisk ManagementPredictive Modeling

Lack of experience with AML or financial data, No proficiency in Python or AWS, No experience with predictive modeling or machine learning

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