Senior Data Analyst, Compliance
New
J
JobgetherFinancial technology
Current residence in Brazil, Canada, or the United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Fluency in English
- Experience
- At least 7 years of experience in data analytics, data science, or data management
- Required Skills
- PythonSQLMicrosoft Power BITableaudbt
Requirements
- At least 7 years of experience in data analytics, data science, or data management.
- Strong proficiency in Python and SQL, including developing and supporting production-grade data or analytical systems.
- Experience with dbt or similar tools for structuring and transforming reliable datasets.
- Experience building and managing data pipelines and understanding workflow orchestration and dependable data processing.
- Familiarity with version control, automated testing, code reviews, CI/CD, and production system maintenance.
- Strong statistical foundation, including analytical methods, feature engineering, and hypothesis testing.
- Proficiency with data visualization and BI tools such as Hex, Tableau, Power BI, or equivalent, including executive-facing dashboards.
- A degree in an analytically rigorous discipline such as analytics, software engineering, statistics, economics, or a related field.
- Fluency in English and current residence in Brazil, Canada, or the United States.
- Experience working with compliance, fraud, funding, finance, or customer support teams to solve business problems using data.
- Additional advantages include experience in fraud detection, AML, anomaly detection, transaction-pattern analysis, detection-threshold tuning, machine learning, and regulated-environment governance.
- Additional advantage: familiarity with Athena, Trino, Kafka, Kubernetes, Airflow, and S3.
Responsibilities
- Own and refine transaction-monitoring logic and rules for deposits and withdrawals with compliance stakeholders.
- Translate compliance requirements into production-ready detection logic, including alert eligibility, thresholds, customer segmentation, date windows, and duplicate handling.
- Develop and maintain Python and SQL pipelines for transaction preparation, feature engineering, and detection workflows.
- Evaluate detection rules and analytical models for coverage, alert quality, threshold sensitivity, and potential impact.
- Design reproducible historical evaluations that account for limited labels, imbalanced datasets, and changing customer behavior.
- Manage testing, deployment, scheduling, monitoring, and support for detection workflows; investigate data quality issues and pipeline failures.
- Execute validated, traceable historical data backfills and support downstream alert delivery and compliance-system integration.
- Analyze large datasets, investigate root causes and trends, and provide actionable recommendations.
- Build and maintain dashboards and analytical outputs for compliance performance and decision-making.
- Apply software engineering best practices to pipelines and dashboards and contribute to machine learning and intelligence initiatives.
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