Data Analyst, Financial Crime Compliance

Role Overview

We are looking for a highly skilled and proactive Data Analyst to join our Financial Crime Compliance team. Your core objective will be to lead continuous improvements and implement data-driven controls across all compliance core areas. You will support regulatory reporting, compliance monitoring, and testing, while acting as a key data consultant for cross‑functional teams to ensure data integrity and actionable insights. In this role, you will be responsible for telling the story behind the data to drive executive decision‑making.

Key Responsibilities

• Dashboarding & Storytelling: Design, build, and maintain high‑impact, interactive dashboards using BI tools (like Looker, BigQuery, etc.) that drive decision‑making for executive leadership.
• Data Quality & Troubleshooting: Lead the definition of data quality standards. Perform root‑cause analysis on data discrepancies, implement automated alerts for anomalies, and work directly with Engineering, BI, and Analytics teams to permanently fix upstream data issues.
• Compliance Consulting: Act as a dedicated data consultant and point of contact for specific Compliance verticals.
• Project Leadership: Lead small to medium‑sized data projects from conception to delivery, managing timelines and stakeholder expectations with a high degree of autonomy.
• KPI & KRI Management: Lead the creation and monitoring of departmental Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs).
• Regulatory & Ad‑hoc Support: Support crucial regulatory reporting, manage code migrations (e.g., Snowflake to BigQuery), and respond to ad‑hoc data intake tasks.
• Technical Mentorship & Quality Assurance: Provide guidance and technical support to Compliance team members. Conduct code reviews (SQL), perform 4‑eye checks on code and dashboards, and champion best practices for data visualization.
• Documentation: Ensure all work is thoroughly documented and saved in a formatted, reproducible manner for repeated tasks and audits.

Requirements

• Experience: 2+ years of experience in data‑driven processes and data analytics.
• Technical Skills: Strong SQL skills and a heavily data‑driven approach to problem‑solving.
• Solid experience utilizing BI tools (e.g., Looker, Tableau) to build impactful visualizations.
• Good understanding of Machine Learning concepts in model risk management.
• Bonus: Python programming experience is a strong plus.
• Communication: Excellent English communication skills, with the proven ability to explain complex, technical topics clearly and confidently to non‑technical stakeholders.
• Interpersonal Skills: Strong people skills and a genuine interest in working in a customer‑facing, highly collaborative environment.

Ways Of Working (What We Expect From You)

• Proactive Communication: Keep stakeholders and management informed. If a data pipeline breaks, a regulatory report will be late, or a deadline cannot be met, we expect proactive updates.
• Solution‑Oriented Mindset: When bringing a blocker to the team’s attention, make an effort to propose a solution and ask, “what’s next?”
• Honesty & Transparency: We value straight talk. If you need more support, different tools, or are feeling overwhelmed by competing priorities, it is your responsibility to be honest and speak up.
• Time Management: Clear communication around working schedules and effective management of your time and priorities.

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