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airtel

Fraud Data Analyst

airtel

Gurugram, Haryana, India • Vollzeit

Bewerben Sie sich als Erste/r!

Erfahrung
10+ Jahre
Gehalt
Stellenangebote
1
Veröffentlicht
vor 8 Stunden
Arbeitsmodus
Im Büro
Ausbildung
Master-Abschluss
Wieder aufnehmen
Bewerbung erforderlich

Wo Sie arbeiten werden

Stellenbeschreibung

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.

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