Senior Data Analyst, Compliance

This is a fully remote position, open to applicants in United States, +2 more countries.

📋 Description

• Take ownership of the logic and rule-setting for transaction monitoring concerning deposits and withdrawals.

• Collaborate with the Compliance team to analyze patterns and enhance detection logic.

• Convert compliance requirements into actionable production detection logic.

• Ensure accuracy across alert eligibility, thresholds, customer segmentation, date windows, and deduplication.

• Create and sustain Python and SQL pipelines for the preparation of transaction data, feature engineering, and detection workflows.

• Assess detection rules and analytical models based on coverage, alert quality, threshold sensitivity, and the impact of proposed changes.

• Develop reproducible evaluations of historical data, considering limited labels, class imbalance, and shifts in customer behavior.

• Manage testing, deployment, scheduling, monitoring, and operational support for detection workflows.

• Address data quality problems, pipeline failures, and unforeseen changes in detection outcomes.

• Conduct historical backfills with clear validation and traceability.

• Ensure dependable downstream alert delivery and integrations with compliance systems.

• Experiment, test hypotheses, translate insights into actionable steps, and apply software engineering best practices to pipelines and dashboards.

⛳️ Requirements

• Over 7 years of experience in data analysis, data science, and data management within fintech, crypto, financial services, or gambling industries.

• Proven experience collaborating with compliance, fraud, funding, finance, and customer support teams.

• Proficient in analyzing large datasets, engineering features, and employing statistical methods.

• Strong expertise in Python and SQL.

• Experience in building and supporting production data or analytical systems.

• Practical experience with dbt or comparable tools.

• Skilled in establishing and managing data pipelines.

• Familiarity with workflow orchestration.

• Knowledge of software engineering practices, including version control, automated testing, code review, and CI/CD.

• A solid foundation in statistics.

• Proficient with BI and data visualization tools such as Hex, Tableau, Power BI, or similar platforms.

• Ability to independently investigate production issues and effectively communicate technical findings and uncertainties to non-technical stakeholders.

• A degree in analytics, software engineering, statistics, economics, or a related field emphasizing analytical rigor.

• Must be based in Canada, the US, or Brazil.

• Fluent in English.

• Experience in fraud detection, AML, anomaly detection, or other risk applications is desirable.

• Familiarity with Athena, Trino, Kafka, Kubernetes, Airflow, dbt, and S3 is a plus.

• Experience in transaction pattern analysis, customer segmentation, and tuning detection thresholds is advantageous.

• Experience in developing or deploying machine learning models is a plus.

• Experience in evaluating detection with sparse or delayed investigation feedback is a plus.

• Knowledge of explainability, auditability, and change control in regulated environments is a plus.

🏝️ Benefits

• Bonus program.

• Equity program.

• Wellness allowance.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k).

• Job-related skills or work-style assessments as part of the hiring process.

• Equal opportunity employment.