Data Analyst (Finance, Risk & Fraud)
Tasks
- Analyze financial trends and customer activity
- Analyze transactions for anomalies
- Automate monitoring for reporting fraud and risk
- Build and maintain dashboards and alerts
- Build unified datasets for advanced analytics
- Improve data quality and metric definitions
- Investigate fraud patterns and risk exposures
- Partner with finance risk compliance to evaluate controls
- Translate business problems into structured analysis
- Validate data and AI logic
Perks/Benefits
- Fitness workshops webinars
- Flexible start up work culture
- Medical coverage
- Mentorship
- Paid time off
- Self-care benefits
Skills/Tech-stack
AML | AWS | Amazon QuickSight | Anomaly Detection | Apache Airflow | DBT | Dashboarding | Data Pipelines | Data Quality | Data Reconciliation | LLM | Machine Learning | Power BI | Python | RAG | SQL | Tableau | Transaction monitoring
Education
N/A
Roles
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