Data Analyst - FinCrime
Skills
SQLAnalytical SkillsAnti-Money LaunderingData Build ToolPythonStatisticsTableau
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor’s or Master’s degree in Mathematics Statistics Economics Data Science or related field
- 4+ years experience in data analysis analytics engineering or data science roles
- Experience building data modeling workflows using dbt or similar tools
- Expert SQL skills
- Python proficiency preferable
- Strong statistical knowledge
- Experience with BI tools such as Mode Tableau Looker or Power BI
- Proven ability to manage multiple projects with attention to detail
- Ability to communicate results clearly and drive impact
- Comfortable collaborating across functions to solve data problems
Nice to have
- Curious
- Proactive
- Independent
- Detail-oriented
- Learning mindset
- Problem solver
- Collaborative
Day to day
- Analyze large transactional datasets to detect investigate and prevent illicit financial activity
- Build robust SQL-based models and create actionable dashboards in Mode or Databricks to visualize financial crime risks
- Collaborate with Financial Crime Product and Compliance teams to improve controls reduce false positives and support regulatory adherence
- Own capacity planning analysis for Financial Crime Operations and deliver clear data-driven insights to business leaders