Data Scientist - Compliance

📋 Description

• Design, deploy, and monitor predictive models for fraud and risk detection.
• Conduct deep-dive analyses of risk events to improve strategies.
• Analyze large datasets to identify patterns, anomalies, and emerging risks.
• Build scalable reporting platforms and document data protocols for regulatory reporting.
• Collaborate with legal, product, and operations to translate findings for leadership.
• Ensure models are auditable and governed in production.

🎯 Requirements

• Degree in Statistics, Mathematics, Data Science, Economics, or related quantitative field.
• 3+ years in data science, analytics, or ML roles.
• Proficiency with various model development techniques.
• Production ML experience; explainable, auditable models.
• Experience supporting compliance ops, investigations, or model governance.
• Exposure to financial crime systems (AML, sanctions) preferred.
• Identify high-predictive variables and data quality needs.

🎁 Benefits

• Competitive salaries, bonuses, and equity for select roles.
• Medical coverage and 24/7 employee assistance program.
• Flexible hybrid work (3 days in office).
• Role-specific training, internal workshops, and learning stipend.
• Team events, social activities, and inclusive culture.