Senior Data Engineer - Fraud Detection & Prevention

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Pessoa Engenheira de Inteligência Antifraude Pleno based in Brazil.

This role offers the opportunity to contribute to the evolution of fraud prevention and detection solutions within a technology-driven environment.

You will combine data analysis, software engineering, and machine learning expertise to build intelligent systems that protect digital transactions.

The position focuses on developing antifraud strategies, optimizing detection models, and improving operational processes through technology.

You will work closely with multidisciplinary teams to transform data insights into scalable and effective security solutions.

This is an opportunity for professionals who enjoy solving complex challenges and applying innovation to real-world financial scenarios.

Your work will have a direct impact on improving security, reliability, and trust in digital services.

Accountabilities

• Perform exploratory data analysis to identify patterns, trends, and insights that support antifraud strategies and decision-making.
• Design, implement, test, and optimize antifraud rules based on data analysis and business requirements.
• Monitor the performance of fraud detection rules, making preventive and corrective adjustments to improve effectiveness.
• Develop, test, and deploy systems and APIs with a focus on code quality, readability, scalability, and performance.
• Build and enhance machine learning models focused on fraud detection and prevention.
• Contribute to improvements in team processes, workflows, tools, and operational efficiency.
• Collaborate closely with different teams to ensure consistency, integration, and continuous improvement of antifraud initiatives.
• Apply statistical analysis techniques to support more accurate fraud detection strategies.
• Participate in technical discussions and contribute to the evolution of security and data-driven solutions.
  
  

Requirements

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• Bachelor’s degree in Statistics, Computer Science, Engineering, or related fields.
• Previous experience working as a Data Scientist or in a similar data-focused engineering role.
• Strong programming skills in Python for data analysis, automation, and application development.
• Knowledge of SQL and experience working with structured data.
• Experience with Git or other code version management tools.
• Strong understanding of statistical analysis, modeling techniques, and data-driven decision-making.
• Familiarity with cloud computing concepts and platforms.
• Experience with fraud prevention, financial services, banking, payment solutions, or fintech environments is a strong advantage.
• Knowledge of Clean Code, Clean Architecture, unit testing practices, and web application deployment is desirable.
• Experience with AWS and Docker is considered a plus.
• Strong analytical mindset, problem-solving skills, and ability to collaborate with cross-functional teams.
  
  

Benefits

• Fully remote work opportunity.
• Reduced work schedule of 32 hours per week for employees with controlled working hours.
• Health insurance with coparticipation for employees and dependents.
• Online healthcare services and medical support platform.
• Dental insurance with coparticipation for employees and dependents.
• Flexible meal and food allowance through benefits card, averaging R$1,600 per month.

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• Access to corporate wellness programs and partner gyms through Wellhub.
• Monthly home-office allowance of R$140.
• Work infrastructure support.
• Birthday day off.
• Corporate university and professional development opportunities.
• Education support programs for employees and dependents, according to company policies.
• Language learning support for employees, according to company policies.
• Extended parental leave benefits.
• Life insurance.
• Emotional health program and discounts for psychological support services.
• Exclusive discounts and partnerships through employee benefits programs.
• Inclusive and collaborative work environment focused on innovation and continuous learning.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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.