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Fraud Prevention Analyst

AI Summary
This role monitors Pix transaction alerts, investigates suspected fraud, and applies preventive account or relationship controls within delegated authority. The analyst manages MED requests, DICT fraud markings, customer-information requests, and formal investigation dossiers under Brazilian Pix regulatory deadlines. The position also escalates potential AML/CFT cases to Compliance/PLD-FTP and helps improve anti-fraud rules by analyzing false positives and operational metrics. It requires at least two years of fraud-prevention or transaction-monitoring experience, hands-on Pix knowledge, and professional fluency in Portuguese and English.
Remote from
Brazil
Salary
Undisclosed
Employment
Full Time
Experience
Open level
Published
Apply before
4 Dec 2026
Listing views
20
Application actions
2
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Opportunity details

About this role.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.

About the Role

Binance is seeking a Fraud Prevention Analyst to join our Brazil fraud team, focused on transactional monitoring, investigation, and fraud prevention within the Pix ecosystem. This role is central to our fiat operating channel, this is a high-volume, high-accountability function where timeliness and attention to detail are needed.

Key Responsibilities:

  • Monitor and action alerts generated by anti-fraud rules and tooling.
  • Investigate suspicious accounts and transactions, including beneficiary chains traced by MED 2.0 (up to 5 layers).
  • Execute, within delegated authority, precautionary blocks, account blocks, and relationship terminations.
  • Handle MED (Mecanismo Especial de Devolução) requests — both received and sent — within the deadlines set by the Pix Regulation, including the 7-day merit-analysis clock (weekends and Brazilian holidays included).
  • Record and query fraud markings in DICT and comply with all applicable regulatory flows.
  • Request information and documents from customers and track responses through to resolution.
  • Prepare analysis dossiers with clear, objective, well-founded reasoning.
  • Escalate cases with indications of money laundering (AML/TF) to the Compliance/PLD-FTP area for assessment of reporting to COAF.
  • Identify false positives and propose parameter adjustments and new detection rules.
  • Track key indicators: alert volume, response time, false-positive rate, and amounts blocked and recovered.

Essential Requirements

  • Minimum 2 years of experience in fraud prevention or transaction monitoring within a financial institution or payment institution.
  • Hands-on experience with Pix: MED, precautionary blocking, DICT, and fraud markings.
  • Knowledge of the main fraud typologies affecting banking and payment rails.
  • Working knowledge of AML/CFT (PLD/FTP), banking secrecy, and LGPD.
  • Strong writing skills for producing opinions, dossiers, and formal communications.
  • Bilingual English/Portuguese is required to be able to coordinate with overseas partners and stakeholders. Additional languages would be an advantage.
  • Education: Bachelor’s degree (Ensino Superior) minimum.

Nice to Have

  • Experience parameterizing or calibrating anti-fraud rules.
  • Familiarity with high-value vs. low-value case triage workflows.

Why Binance

  • Shape the future of finance
  • Collaborate with world-class talent in a user-centric global organization with a flat structure
  • Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
  • Thrive in a results-driven workplace with opportunities for career growth and continuous learning
  • Competitive salary and company benefits
  • Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThe work combines time-sensitive fraud decisions, detailed Pix regulatory processes, and potential AML/CFT escalation. Errors can affect customer funds, compliance obligations, and fraud-loss prevention, requiring sound judgment under pressure.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$28,000
US market range (per year)$20k–$40k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer pay range is disclosed. The figures shown are AI-estimated annual base-pay benchmarks in USD for a Brazil-based fraud prevention analyst with Pix and transaction-monitoring expertise; the yearly cadence is inferred from the full-time professional role.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you investigate a Pix transaction alert that may involve a fraudulent beneficiary chain?

I would validate the alert context, review transaction history and linked accounts, and trace beneficiary relationships through the available chain data. I would document indicators of fraud, assess whether precautionary action is warranted within my authority, and prepare a clear dossier for escalation or final disposition.

What controls are important when handling MED requests under Pix rules?

I would ensure each request is logged, validated, assigned appropriate priority, and processed within the applicable regulatory deadline, including the seven-day merit-analysis period. I would maintain evidence of decisions, communicate with relevant parties, and record required fraud markings or outcomes in DICT.

How do you distinguish a likely fraud case from a false positive?

I compare the alert against customer profile, transaction behavior, known fraud typologies, device or account signals, beneficiary patterns, and supporting documentation. If the activity has a legitimate explanation and lacks corroborating risk indicators, I document the rationale and feed the result into rule-calibration analysis where appropriate.

When would you escalate a case to the AML/CFT or PLD-FTP team?

I would escalate when the facts indicate possible money laundering, terrorist financing, layering, use of mule accounts, or other suspicious behavior beyond a standard fraud event. The escalation should include an objective chronology, relevant transaction data, account relationships, actions taken, and the specific indicators that require compliance assessment.

How would you use operational metrics to improve fraud-prevention performance?

I would monitor alert volumes, response times, false-positive rates, blocked amounts, and recovered amounts by rule and typology. These data help identify bottlenecks, prioritize high-risk scenarios, and recommend parameter changes or new rules while maintaining appropriate customer impact and regulatory compliance.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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