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Business Analyst with a strong background in fraud detection and prevention
Business Analyst with a strong background in fraud detection and preventionMatrix USA • portalegre, Portugal
Business Analyst with a strong background in fraud detection and prevention

Business Analyst with a strong background in fraud detection and prevention

Matrix USA • portalegre, Portugal
Há 28 dias
Descrição do cargo

We are seeking a highly analytical and detail-oriented Business Analyst with a strong background in fraud detection and prevention . The ideal candidate will have at least 5 years of experience working in fraud risk, preferably in financial services, fintech, e-commerce, or a similar high-risk environment. You will play a key role in identifying fraud trends, analyzing data, and supporting the development of strategies to mitigate fraud risk across the organization. Business Analyst with a strong background in fraud detection and prevention .

Key Responsibilities :

  • Analyze large datasets to identify fraud patterns, anomalies, and emerging threats.
  • Collaborate with fraud operations, data science, and engineering teams to design and implement fraud detection rules and models.
  • Develop and maintain dashboards and reports to monitor fraud KPIs and operational performance.
  • Conduct root cause analysis of fraud incidents and recommend process or system improvements.
  • Support the development and enhancement of fraud prevention tools and technologies.
  • Document business requirements and translate them into functional specifications for technical teams.
  • Stay up to date with industry trends, fraud typologies, and regulatory requirements.

Required Qualifications :

  • Bachelor’s degree in Business, Finance, Data Analytics, or a related field.
  • Minimum 5 years of experience in a Business Analyst role with a focus on fraud risk.
  • Strong understanding of fraud detection techniques, tools, and best practices.
  • Proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI).
  • Experience working with fraud platforms (e.g., Actimize, SAS, or similar) is a plus.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work cross-functionally in a fast-paced, dynamic environment.
  • Preferred Qualifications :

  • Experience in financial services, payments, or e-commerce fraud.
  • Familiarity with machine learning concepts and how they apply to fraud detection.
  • Knowledge of regulatory frameworks such as AML, KYC, and PCI-DSS.
  • Why Matrix

    Matrix is a global, dynamic, fast-growing technical consultancy leading technology services company with 13000 employees worldwide. Since its foundation in 2001, Matrix has made more travelers and acquisitions and has executed some of the largest, most significant. The company specializes in implementing and developing leading technologies, software solutions, and products. It provides its customers with infrastructure and consulting services, IT outsourcing, offshore, training and assimilation, and Ves as representatives for the world's leading software vendors. With vast experience in private and public sectors, ranging from Finance, Telecom, Health, Hi-Tech, Education, Defense, and Secu city, Matrix's customer base includes guest organizations in Israel and a steadily growing client base worldwide.

    We are comprised of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent and recognize that all employee's contributions are integral to our company's future.

    Matrix- success is based on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a diverse work environment of sharing, learning, and ceding together. Come and join the winning team! You'll be challenged and have fun in a highly respected organization. To Learn More, Visit Matrix -ifs. Com,

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    Business Analyst with a strong background in fraud detection and prevention • portalegre, Portugal

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