- Expérience
- 10 ans et plus
- Salaire
- —
- Ouvertures
- 1
- Publié
- il y a 2 heures
- Mode de travail
- Au bureau
- Éducation
- Une maîtrise
- CV
- Candidature requise
Votre lieu de travail
Description de l'emploi
Fraud Analytics
- Design and implement predictive fraud detection models using machine learning techniques to uncover suspicious behavior and patterns.
- Continuously improve fraud monitoring systems to enhance detection precision while minimizing false alarms.
- Evaluate both internal and external datasets to identify weaknesses and suggest preventive strategies.
- Establish and monitor key performance indicators to gauge the effectiveness of fraud detection efforts.
Market Intelligence
- Keep abreast of new fraud methods, industry standards, and regulatory updates.
- Conduct competitor risk management analysis to discover areas for enhancement.
- Deliver actionable insights from market intelligence to guide strategic planning.
Team Leadership
- Recruit, develop, and lead a skilled team comprising data analysts, scientists, and market intelligence experts.
- Collaborate effectively with teams in risk management, compliance, IT, and other units to ensure cohesive communication and alignment.
Qualifications
Education
- Master's degree in Data Science, Statistics, Economics, Business Administration, or related disciplines.
Experience
- Over 10 years of professional experience in fraud analytics, risk management, or data analysis.
- Demonstrated success in creating and deploying fraud detection systems.
- Experience utilizing market intelligence tools and conducting competitive evaluations.
Technical Skills
- Proficiency with data analytics software such as Python, R, SQL, and SAS.
- Knowledgeable in machine learning frameworks and fraud detection technologies.
- Understanding of relevant industry regulations and compliance requirements.
Key Competencies
- Strong analytical and problem-solving capabilities.
- Effective leadership and team management skills.
- Strategic mindset combined with solid business insight.
- Clear communication skills to translate complex data findings for broader audiences.