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Overview
Mid-Level

Antifraud, Payments & Risk Analyst

Confirmed live in the last 24 hours

Superbet

Superbet

Brazil
On-site
Posted March 20, 2026

Job Description

It’s an exciting time to join us! We’re entering new markets, developing new technologies, and moving step by step towards our goal of exciting the world. As our business grows, the number of exciting people initiatives grows with it, and we’re looking for a new colleague to partner with our team to bring these to life.

Job Summary

As an Antifraud, Payments & Risk Analyst you will be responsible for making sure that payment requests, both in and out of customers' accounts, are evaluated and processed on time. You will also be responsible for ensuring that established policies and procedures relating to fraud and risk prevention are followed. Reliable, problem-solver, excellent analytical skills, acute attention to detail, and good communication and interpersonal skills are essential qualities for this key role.

*Please submit your CV in English (mandatory)
**Position based in SÃO PAULO. 

We're looking for someone who:
  • Is interested in developing their career in the Payment, Antifraud, and Risk department;
  • Is detail-oriented and an analytical problem-solver;
  • Is naturally inquisitive, with a keen eye for detecting suspicious patterns and irregular activity;
  • Is proactive and innovative – constantly seeking improvements in fraud detection processes and tools;
  • Has good written and spoken Spanish and English.
  • Is willing to work in shifts, including weekends and Public Holidays.
Bonus points if you:
  • Have experience working in the sports betting or online gaming industry;
  • Have hands-on knowledge of antifraud tools and validation systems (e.g., device fingerprinting, velocity rules, machine learning, etc.);
  • Are familiar with social engineering tactics, and emerging fraud trends.
  • Have a SQL intermediate level.
What you’ll be doing:
  • Perform risk assessments of new and existing players at different stages of the user journey;
  • Investigate suspicious behavior by analyzing user patterns, device usage, transactional activity, and KYC inconsistencies;
  • Identify, document, and escalate fraud trends or high-risk cases to relevant departments, contributing to internal fraud intelligence;
  • Use internal systems and external tools to detect and prevent fraudulent actions, including Identity Theft, Multiple Accounts, Account Takeover, and Bonus Abuse;
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