Senior Financial Engineering Specialist

2 semanas atrás

São Paulo, São Paulo, Brasil beBeeFinance Tempo inteiro R$120.000 - R$150.000
Role Summary

We are seeking a talented and experienced professional to join our team as an Financial Engineer. This is an exceptional opportunity for someone who is passionate about building innovative solutions that drive business growth.

The ideal candidate will have a strong background in software engineering, with expertise in designing and implementing scalable and efficient systems. They will be responsible for architecting and developing cutting-edge financial products, working closely with cross-functional teams to deliver high-quality results.

This role requires a unique blend of technical skills, business acumen, and collaboration. The successful candidate will possess excellent problem-solving abilities, strong communication skills, and the ability to adapt quickly to changing priorities.

Key Responsibilities
  • Design and develop complex financial systems and models using Python and other programming languages.
  • Work collaboratively with data scientists, product managers, and engineers to identify and prioritize business requirements.
  • Develop and maintain high-quality code, ensuring adherence to industry standards and best practices.
  • Participate in code reviews, testing, and deployment activities to ensure smooth operation of financial systems.
  • Collaborate with stakeholders to gather feedback, identify areas for improvement, and implement changes.
Requirements
  • Bachelor's degree in Computer Science, Mathematics, or a related field.
  • 5+ years of experience in software engineering, with a focus on financial applications.
  • Strong proficiency in Python, including data structures, algorithms, and object-oriented programming.
  • Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
  • Excellent problem-solving skills, with the ability to debug complex issues.
  • Strong communication and teamwork skills, with the ability to work effectively in a fast-paced environment.
Bonus Points
  • Experience with MLOps tools and platforms (e.g., MLflow).
  • Experience with real-time data processing frameworks (e.g., Kafka).
  • Great SQL skills.
Recruitment Process
  • Online assessment: an online test to evaluate your theoretical skills and logical reasoning.
  • Case: a technical project where you'll deploy a machine learning model for real-time inference.
  • Technical interview and case presentation.
  • Cultural interview.

If you are not willing to take an online quiz and work on a test case, do not apply.

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