This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and sustain meticulously curated datasets and data models related to cases, alerts, entities, transactions, and risk features.

• Ensure data quality through validation checks, continuous monitoring, lineage tracking, and thorough documentation.

• Collaborate with engineering teams and Compliance stakeholders to address upstream data deficiencies and standardize instrumentation.

• Convert control requirements into scalable data structures and feature sets.

• Evaluate detection outputs to enhance signal quality while minimizing non-actionable noise.

• Establish success metrics for controlled implementations.

• Implement measurement frameworks to assess the effectiveness of compliance controls, focusing on coverage, timeliness, stability, and outcome-based metrics.

• Create repeatable reporting pipelines for Compliance leaders, operations teams, and auditors.

⛳️ Requirements

• A minimum of 5 years of experience in analytics engineering, data engineering, or similar data-focused technical roles.

• Proficient in advanced SQL, including complex transformations, performance tuning, and data quality assessments.

• Experience in building and maintaining ETL/ELT pipelines and data models utilizing dbt, Airflow, or comparable orchestration/transformation frameworks.

• Capability to manage ambiguous, cross-functional projects within regulated environments.

• Strong written and verbal communication skills.

• Proficiency in Python for automation, pipeline development, and data analysis.

• Responsible utilization of generative AI under human supervision.

• Must reside in the USA.