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Open nowPosted 37 days ago

Analista de Estratégia Prevenção a Fraudes Sr

MAISTODOS14 open roles

Where
São Paulo, SP, Brasil
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Your applicationOpen nowAnalista de Estratégia Prevenção a Fraudes SrMAISTODOS · São Paulo, SP, Brasil

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MAISTODOS's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

14.0% of postings close within 7 days. Measured by our own scanner across the market. MAISTODOS postings stay open a median of 8 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 14.0%7 days
  4. 22.5%14 days
  5. 38.3%30 days
  6. 59.0%60 days
This job: posted 37 days ago

MAISTODOS median: 8 days open

The posting

Responsabilidades

  • Desenvolver e implementar estratégias e modelos avançados para detecção e prevenção de fraudes em transações financeiras, com foco em Crédito PF e PJ.
  • Conduzir due diligence, background check e definição de KYC.
  • Produzir análises ad hoc para decisões de priorização, monitorar indicadores de crédito em parceria com MIS e apoiar iniciativas de KYC avançado.
  • Analisar grandes volumes de dados transacionais e comportamentais utilizando ferramentas de análise de dados e/ou linguagens de programação.
  • integrar o ciclo completo de estratégia antifraude, desde a criação de regras, estudos de impacto, monitoramento de performance, otimização de regras e modelos e interface com outras áreas.
  • Colaborar com equipes de tecnologia para integrar soluções antifraude em sistemas existentes e desenvolver novas funcionalidades.
  • Elaborar relatórios detalhados sobre tendências de fraude, perdas financeiras e desempenho das estratégias implementadas.
  • Manter-se atualizado sobre as últimas tendências e tecnologias em prevenção a fraudes, participando de workshops e treinamentos.

Requisitos

  • Experiência sólida em análise e prevenção de fraudes, preferencialmente no setor financeiro ou e-commerce.
  • Domínio avançado em SQL para consulta e manipulação de grandes bases de dados relacionais e não relacionais.
  • Diferencial: Conhecimento em linguagens de programação como Python ou R para análise de dados e desenvolvimento de modelos preditivos.
  • Experiência sólida com ferramentas antifraude (e.g., FICO Falcon, RSA Adaptive Authentication, ClearSale) e sistemas de monitoramento.
  • Diferencial: Conhecimento em técnicas de machine learning e estatística aplicada para detecção de anomalias e padrões de fraude.
  • Familiaridade com regulamentações de segurança de dados (LGPD, GDPR) e padrões de segurança da informação (PCI DSS).
  • Capacidade de realizar análises complexas, identificar riscos e propor soluções estratégicas para mitigar fraudes.

Habilidades

  • SQL avançado — obrigatório
  • Experiência em análise de dados aplicada à prevenção a fraudes ou risco de crédito
  • Capacidade de especificar e acompanhar controles de Crédito PF e PJ
  • Conhecimento de KYC, due diligence e processos de background check
  • Domínio de métricas antifraude e de crédito (precision, recall, inadimplência, aprovação)
  • Conhecimento de regulamentações: LGPD, PCI DSS
  • Diferenciais: Python ou R para modelagem e análise preditiva. Experiência com sanções internacionais e listas restritivas (OFAC, PEP). Vivência com ferramentas de motor de decisão (FICO, DataRudder ou similares). Experiência em fintechs de crédito ou bancos digitais.
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