20 melhores vagas de deep learning engineer para brazil (Contratando agora!)

Fraud Prevention and Regulatory Risk Manager
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- Modelo Híbrido
- Gestão
- PMP
- Inglês
Candidatura rápida
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Go-to-Market Engineer - Florianópolis, Brazil
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Regional Branding & Partnerships Manager - LATAM
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Technical Lead - Brazil
Binance —São Paulo, SP
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Go-to-Market Engineer - Rio de Janeiro, Brazil
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Product Manager
Caliza Financial Technologies, Inc —Remoto
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- APIs
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Institutional Sales Manager (LATAM)
Binance —Remoto
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Global Affiliate Manager
Binance —São Paulo, SP
- Tempo integral
- Home Office
- Inglês
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- Habilidades de Apresentação
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Growth Marketing Developer (Desenvolvedor de Growth Marketing) - São Paulo (Hybrid
Clara —São Paulo, SP
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Fraud Prevention and Regulatory Risk Manager

Binance -
São Paulo, SP

Candidatura rápida

Detalhes da vaga

Tempo integral

Qualificações

Gestão
PMP
Inglês
Serviços Financeiros
Prevenção e Detecção de Fraude
Inteligência artificial
Liderança

Descrição completa da vaga

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, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

The Fraud Prevention and Regulatory Risk Manager is a strategic leadership role responsible for developing and executing fraud prevention strategies across digital products, particularly digital accounts. This position plays a critical role in safeguarding the organization against fraud risks while ensuring full compliance with applicable financial regulations.

Please upload your resume in English.

Responsibilities

Lead the strategy for fraud prevention and detection across digital platforms and the PIX environment.
Act as a subject matter expert on regulatory requirements applicable to fintech and financial services.
Design, implement, and enhance anti-fraud frameworks, policies, and controls.
Drive continuous improvement initiatives for fraud detection systems and operational processes.
Collaborate closely with Technology, Product, Compliance, and Legal teams to deliver effective solutions.
Analyze data and metrics to identify fraud patterns, trends, and vulnerabilities.
Define and monitor KPIs related to fraud prevention and operational efficiency.
Manage third-party vendors and fraud prevention tools.
Lead, mentor, and develop the fraud prevention team.
Support internal and external audits and maintain relationships with regulators.

Requirements

Strong experience in fraud prevention within financial services or fintech.
In-depth knowledge of regulatory and compliance frameworks.
Proven track record in implementing and improving anti-fraud systems and processes.
Experience with transaction monitoring, KYC, AML, and authentication tools.
Strong analytical and data-driven mindset.
Leadership and project management experience.
Advanced or fluent English (mandatory)

Why Binance

Shape the future with the world’s leading blockchain ecosystem
Collaborate with world-class talent in a user-centric global organization with a flat structure
Tackle unique, fast-paced projects with autonomy in an innovative environment
Thrive in a results-driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business 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 confirm that you have read and agree to 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. 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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