Fraud & AML Data Analyst

Company: Oscilar

Job Category: Data Analytics / AML / Fraud / FinTech

Contract Type: Full-Time, Permanent

Location: Remote — USA, Canada, Brazil, Poland, or UK

Application Link: https://jobs.ashbyhq.com/oscilar

Job Description: You'll work at the intersection of data and financial risk — analyzing fraud patterns, AML signals, and compliance data across Oscilar's enterprise client base. Your work directly improves the models and rules that keep banks, fintechs, and digital asset platforms safe.

Key Responsibilities:

• Analyze fraud, AML, and compliance data across Oscilar's customer ecosystem
• Identify patterns, signals, and trends that inform model improvements and rule engine updates
• Build and maintain dashboards and data pipelines for internal and external fraud analytics
• Collaborate with ML engineers and product managers to translate analytical insights into product improvements
• Support customer implementations with data-driven insights and case studies
• Document findings and present recommendations clearly to technical and non-technical audiences

Requirements:

• Background in data analytics with exposure to fraud, AML, or financial compliance domains
• Strong SQL and data analysis skills; Python a plus
• Experience working with financial transaction data or risk decisioning data preferred
• Comfortable communicating analytical findings to both technical teams and business stakeholders
• Detail-oriented with a problem-solving mindset