Data scientist position to build machine learning fraud detection models for high-volume financial technology platform in Tokyo.
Roles/Responsibilities
- Design and implement real-time fraud detection systems with high scalability.
- Develop advanced machine learning models to identify fraudulent behaviors.
- Analyze complex data patterns and generate comprehensive fraud activity reports.
- Create proactive fraud prevention strategies with minimal false positives.
- Collaborate across engineering, operations, and product development teams.
- Integrate security insights into product design and development processes.
- Develop innovative monitoring and alerting mechanisms for suspicious transactions.
- Assess and continuously improve existing fraud detection technologies.
- Document methodological approaches for team knowledge sharing.
- Follow current trends related to emerging fraud detection and data science technologies.
- Provide actionable recommendations to senior management.
Required skills
- Advanced proficiency in data science programming (Python, R, SQL).
- Expertise in machine learning frameworks and libraries.
- Comprehensive understanding of cloud platforms, particularly AWS services.
- Bilingual communication skills in English and Japanese.
- Strong analytical and problem-solving capabilities.
- Ability to work effectively under high-pressure environments.
*Please note visa sponsorship is not available for this position.
Preferred skills
- Previous experience in fraud detection within financial technology.
- Advanced data visualization skills.
- Familiarity with e-commerce fraud prevention techniques.
- Experience with Tableau, Looker, or similar reporting tools.
- Knowledge of financial technology platforms.
Personal Attributes
- Proactive and innovative mindset.
- Exceptional communication and presentation skills.
- Ability to translate complex technical concepts.
- Strong collaborative approach.
- Commitment to continuous learning.
- Adaptable to rapidly changing technological landscapes.
- Cultural sensitivity and global perspective.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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