AML Data Quality Analyst - Model Ownership (Hybrid)

Mindlance; Charlotte (NC); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Mindlance is seeking an Analytics Consultant to own model and data quality for AML initiatives in Charlotte, NC (Hybrid). The 12+ month engagement focuses on proactive data-quality checks, data profiling, and governance to ensure reliable model inputs and auditable processes.

You will collaborate with cross-functional teams to identify defects, analyze root causes, and implement preventive controls, enabling timely, data-driven decisions.

Qualifications

• Proficient in SQL for Teradata environments.
• Profile datasets to understand data characteristics, quality issues, anomalies, and potential problems.
• Identify data defects or quality issues affecting AML datasets.
• Document controls and audit readiness in governed environments.
• Coordinate data issues with multiple stakeholders across technology, data, and business teams.

Responsibilities

• Perform proactive data-quality checks to identify issues before AML model input.
• Profile datasets to understand data characteristics, quality issues, and anomalies.
• Identify, track and remediate data defects impacting AML datasets.
• Ensure data going into AML models meets quality standards.
• Develop preventive monitoring to catch issues earlier in the data lifecycle.

Skills

SQL

Data analysis

Data profiling

Data quality

Root cause analysis

Stakeholder collaboration

Model governance

Data validation

Project management

Change management

Tools

Teradata

Job description

Mindlance is seeking an Analytics Consultant to own model and data quality for AML initiatives in Charlotte, NC (Hybrid). The 12+ month engagement focuses on proactive data-quality checks, data profiling, and governance to ensure reliable model inputs and auditable processes.

You will collaborate with cross-functional teams to identify defects, analyze root causes, and implement preventive controls, enabling timely, data-driven decisions.