TL;DR
Data Analyst (Fraud): Supporting the detection and prevention of identity fraud by transforming complex datasets into actionable insights with an accent on pattern recognition and anomaly detection. Focus on building robust dashboards and collaborating with cross-functional teams to mitigate fraud risks and improve system performance.
Location: Must be based in Mexico
Company
Incode is a Series B unicorn providing AI-powered identity verification solutions for leading financial institutions, governments, and marketplaces.
What you will do
- Query and analyze fraud-related datasets to identify trends and investigate suspicious activity.
- Design and maintain dashboards to track fraud performance for operational and stakeholder visibility.
- Monitor data quality and optimize fraud analytics workflows and reporting processes.
- Translate technical findings into clear, actionable recommendations for fraud analysts and customer success teams.
Requirements
- 1–2 years of experience in data analytics or reporting.
- Must be based in Mexico.
- Strong SQL skills including joins, aggregations, and query optimization.
- Working knowledge of Python for data processing or automation.
- Experience with BI tools like Tableau or Power BI.
Nice to have
- Experience in fraud, risk, or trust and safety domains.
- Familiarity with SLA-driven reporting environments.
Culture & Benefits
- High-performance, ownership-driven environment.
- Flexible working hours and remote-friendly policy.
- Open vacation policy.
- Opportunities for growth within a fast-scaling global unicorn.