Fraud Data Analyst (Fintech)

TL;DR

Fraud Data Analyst (Fintech): Identifying, investigating, and preventing fraudulent transactions and activities, utilizing analytical skills and experience with SQL to query and analyze data. Focus on uncovering fraudulent activities, identifying emerging fraud trends and patterns, and developing effective fraud prevention strategies.

Location: Remote (Chile)

Company

hirify.global is a fintech company revolutionizing the shopping experience by offering seamless, interest-free installment plans and cutting-edge payment solutions.

What you will do

• Monitor transactions and customer accounts to identify and investigate suspicious or fraudulent activity.
• Utilize various fraud detection tools and techniques to identify emerging fraud trends and patterns.
• Conduct in-depth investigations into suspected fraudulent activities, gathering evidence and documenting findings.
• Analyze large datasets using SQL to identify anomalies, patterns, and insights related to fraudulent behavior.
• Develop and implement fraud prevention rules, strategies, and controls.
• Stay up-to-date with industry best practices and new technologies in fraud detection and prevention.

Requirements

• Bachelor's degree in Economics, Computer Science, Analytics, or a related field.
• Minimum of two (2) years of experience in a fraud detection, prevention, or investigation role.
• Minimum of two (2) years of experience working with SQL and Python.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Understanding of common fraud typologies (e.g., account takeover, identity theft, payment fraud).
• Excellent written and verbal communication skills; only English resumes will be accepted.

Nice to have

• Work experience in fintech, payments, lending, banking, or financial institutions.
• Degree in statistics, math, finance, economics, or related quantitative discipline; graduate degree.

Culture & Benefits

• Be part of a rapidly growing team with abundant prospects for career advancement.
• Work in a dynamic, fast-paced environment where speed matters and calculated risk-taking is valued.
• Join a team of brilliant engineers, passionate data enthusiasts, and determined innovators.
• Work with colleagues who are unique and purpose-driven, fostering a culture of high standards and continuous improvement.
• Participate in a culture where you are encouraged to develop new ways to approach challenges.
• Benefit from a commitment to ethical practices and integrity.