Data Analyst - Fincrime Reporting
Core
Design and maintain data models for transaction monitoring, customer risk scoring, and financial crime investigations to enable effective risk detection and regulatory compliance.
Role type
Mid-level IC data analyst (FinCrime compliance)
Builds
Curated data models, detection logic, monitoring rules, and dashboards for risk exposure and alert pipelines
Domain
Financial services / FinTech / Regulatory Compliance
Deliverable
production ML models | dashboards & analysis
Required skills
Advanced SQL, data modeling, data pipeline construction, data quality controls, regulatory reporting, financial crime frameworks, analytical thinking
Preferred skills
Python, dbt, Google Cloud BigQuery, Looker / Looker Studio, Git, transaction monitoring systems, payment flows, FX, banking products
Technologies
SQL, dbt, Google Cloud BigQuery, Looker, Looker Studio, Git
Responsibilities
Design and maintain data models for transaction monitoring and risk scoring; Develop and optimize detection logic and monitoring rules; Perform data quality checks and controls; Build dashboards for monitoring risk exposure and alerts; Support regulatory and internal audits; Contribute to automation of FinCrime processes
Seniority
Mid-level, hands-on IC