SAS AML Developer

Stratacent

• $110K — $130K *
US-AnywhereRemote in New York, NY
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science or equivalent required.
  • Proficient in SAS AML 7.2 and SAS Enterprise Guide.
  • Strong understanding of Linux and Oracle Database.
  • Experience with PROC SQL and DATA Step Programming.
  • Knowledge of AML transaction monitoring concepts and alert management processes.
  • Familiarity with financial crime compliance and regulatory requirements.
  • Skilled in Oracle SQL and Linux/Shell scripting.

Responsibilities

  • Develop and maintain AML transaction monitoring scenarios.
  • Enhance existing scenarios to mitigate emerging financial crime risks.
  • Implement new detection strategies aligned with regulatory and compliance needs.
  • Configure scenario parameters, thresholds, and alert criteria.
  • Analyze alert volumes and false-positive rates for optimization.
  • Support risk-based monitoring and customer segmentation approaches.
  • Troubleshoot production scenario failures and support release deployments.

Benefits

  • Opportunity to work on cutting-edge AML technology.
  • Engagement in regulatory compliance initiatives.
  • Collaborative environment focused on financial crime prevention.
  • Professional development opportunities in a growing field.
Full Job Description
Job Description:
Stratacent is looking for SAS AML Developer who will be responsible for the design, development, enhancement, testing, deployment, and optimization of transaction monitoring scenarios within the SAS Anti-Money Laundering (AML) platform. The role supports regulatory compliance initiatives by maintaining effective detection capabilities while minimizing false positives and improving investigative efficiency.

Key Responsibilities:
  • Develop and maintain AML transaction monitoring scenarios.
  • Enhance existing scenarios to address emerging financial crime risks.
  • Implement new detection strategies based on regulatory, business, and compliance requirements.
  • Configure scenario parameters, thresholds, lookback periods, and alert criteria.
  • Support customer segmentation and risk-based monitoring approaches.
  • Analyse alert volumes and false-positive rates.
  • Perform threshold calibration and scenario tuning.
  • Support alert suppression and prioritization initiatives.
  • Develop risk scoring methodologies supporting alert prioritization.
  • Develop monitoring logic for: Structuring, Rapid movement of funds, High-risk geography activity, Funnel accounts, Velocity monitoring, large wire transfers, Dormant account activity, Trade-based money laundering, Behavioural anomaly detection
  • Configure SAS AML 7.2 transaction monitoring components.
  • Support alert generation workflows.
  • Troubleshoot production scenario failures.
  • Support release deployments and scenario migrations.
  • Participate in defect resolution and root cause analysis.
  • Develop test cases and validation plans.
  • Execute UAT and production verification activities.
  • Validate scenario performance and expected alert outcomes.
  • Support model validation and regulatory reviews.

Required Skills:
  • Bachelor's degree in computer science or equivalent is required.
  • Linux and Oracle Database understanding is required which is the platform for the SAS application.
  • SAS AML 7.2
  • SAS Enterprise Guide
  • SAS 9.4M9
  • PROC SQL
  • DATA Step Programming
  • AML Transaction Monitoring Concepts
  • Alert and Case Management Processes
  • Oracle SQL
  • Linux/Shell Scripting
  • Financial Crime Compliance

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