Fraud Data Analyst (Fintech)

Location: Remote in Chile

Company

hirify.global is a fintech and retail technology company providing interest-free installment payment solutions and shopping experiences for consumers and merchants.

What you will do

• Monitor transactions and customer accounts for suspicious or fraudulent activity.
• Investigate suspected fraud, gather evidence, and document findings.
• Use SQL and analytical techniques to identify anomalies, patterns, and insights in large datasets.
• Use fraud detection tools and platforms to identify emerging threats and trends.
• Develop and implement fraud prevention rules, strategies, and controls.
• Track industry best practices, emerging fraud threats, and fraud detection technologies.

Requirements

• Bachelor’s degree in economics, computer science, analytics, or a related field.
• At least two years of experience in fraud detection, prevention, or investigation.
• At least two years of experience working with SQL and Python.
• Strong analytical, problem-solving, organizational, and communication skills.
• Understanding of fraud typologies including account takeover, identity theft, and payment fraud.
• Demonstrated experience with Claude or equivalent large language model tools is required.

Nice to have

• Experience in fintech, payments, lending, banking, or financial institutions.
• Degree in statistics, mathematics, finance, economics, or another quantitative discipline.
• Graduate degree.
• Experience with fraud detection tools and platforms.

Culture & Benefits

• Full-time remote work in Chile.
• Fast-paced environment with independent and collaborative work.
• Culture emphasizing high standards, innovation, calculated risk-taking, trust, constructive disagreement, and results.
• English-language resumes are required.