Fraud Prevention Analyst: Detect, Investigate & Prevent

Novibet; Mexico; On-site; MXN 420,000 - 540,000; Full time

Job summary

Novibet is seeking a Fraud Prevention Analyst in Mexico City to join a dynamic team. You will execute day-to-day fraud prevention activities, investigate anomalies, and identify exploitable gaps in offers and incentives.

The role blends investigative work with data analysis to strengthen proactive prevention and reduce losses. The ideal candidate has 1–3 years in fraud prevention, strong data skills, English fluency, and familiarity with LATAM markets.

Qualifications

• 1–3 years of experience in fraud prevention, risk management, or a related analytical role.
• Experience analyzing fraud patterns or customer behavior in LATAM i-gaming markets is a strong advantage
• Strong analytical mindset with pattern recognition and attention to detail

Responsibilities

• Investigate ad hoc alerts, anomalies, and suspicious activity flagged by the Detection team.
• Identify and assess potential breaches or exploitable gaps in offers, promotions, and incentive structures
• Analyze fraud-related data to detect organized fraud activity, shared device usage, or suspicious behavioral patterns
• Support the design, testing, and refinement of automated fraud detection and prevention rules
• Escalate complex or high-risk cases to the Fraud Prevention Lead with evidence and recommendations
• Document investigation outcomes and share insights to improve prevention strategies
• Collaborate with Product, Risk, and Customer Operations teams to communicate prevention strategies and mitigate threats

Skills

Fraud detection

Data analysis

SQL knowledge

Excel/BI tools

English fluency

LATAM markets knowledge

Tools

SQL

Excel

BI tools

Job description

Novibet is seeking a Fraud Prevention Analyst in Mexico City to join a dynamic team. You will execute day-to-day fraud prevention activities, investigate anomalies, and identify exploitable gaps in offers and incentives.

The role blends investigative work with data analysis to strengthen proactive prevention and reduce losses. The ideal candidate has 1–3 years in fraud prevention, strong data skills, English fluency, and familiarity with LATAM markets.