Sales Fraud Prevention Specialist

Há 15 horas

São Paulo, São Paulo, Brasil beBeeFraudPrevention Tempo inteiro

Job Title:

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Sales Engineering Manager

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Job Description:

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We are seeking a highly experienced Sales Engineer to support the sale of advanced fraud prevention and risk solutions. In this role, you will be responsible for driving the sales process by providing technical sales expertise, delivering compelling product demonstrations, and ensuring seamless integration of Risk and Identity Issuing solutions.

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Key Responsibilities:

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  • Technical Sales Expertise: Serve as the technical expert throughout the pre-sales lifecycle, working with prospects to position Risk and Identity solutions.">
  • Value Articulation: Understand and articulate the value of fraud prevention solutions in addressing specific fraud challenges across the payment lifecycle.">
  • Client Advisory: Advise on how to combine machine learning models with network-based intelligence and decisioning to enhance fraud detection efficacy and reduce false positives.">
  • Sales Support: Provide technical sales support throughout the sales process, including responding to RFPs, creating technical documentation, and addressing inquiries.">
  • Product Demonstrations: Conduct detailed and tailored product demonstrations to prospective clients, showcasing the value and capabilities of Issuing Risk and Identity solutions.">
  • Industry Awareness: Maintain deep awareness of evolving fraud vectors, regulatory frameworks, and industry trends affecting digital payments and financial crime.">
  • Client Requirements Translation: Translate requirements into actionable technical solutions, ensuring that Risk and Identity products meet and exceed expectations.">
  • Implementation Collaboration: Collaborate during the product implementation phase to ensure a successful go-live within the designated timeline.">
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Qualifications:

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8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD">">

Preferred Qualifications:

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  • Bachelor's or Master's degree in Computer Science, Information Security, Engineering, or a related field.">
  • 10+ years of experience in pre-sales, fraud strategy, or technical consulting roles within fraud prevention, payments, or financial services.">
  • Direct experience working with or integrating advanced fraud prevention solutions.">
  • Hands-on experience with machine learning-based fraud platforms.">
  • Deep knowledge of adaptive behavioral analytics, supervised/unsupervised ML models, transaction monitoring, alerting, scoring, and model tuning.">
  • Payment ecosystem fraud detection (card issuance, acquiring, gateways, wallets), decision orchestration, and fraud policy design.">
  • Technical familiarity with various APIs scripting, data mapping, and solution architecture.">
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Additional Information:

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