Senior Fraud Data Strategist

7 hours ago


Malappuram, Kerala, India beBeeData Full time ₹ 15,00,000 - ₹ 23,00,000

Fraud Detection Specialist:

  • Develop predictive analytics models and machine learning algorithms to identify suspicious activities and patterns.

Key Responsibilities:

  • Enhance existing fraud monitoring systems to improve detection accuracy and reduce false positives.
  • Provide data-driven insights to stakeholders on vulnerabilities and recommend proactive measures.
  • Define and track key performance indicators (KPIs) to measure the effectiveness of fraud detection strategies.

Required Skills:

  • Master's degree in data science, statistics, economics, or a related field.
  • 10+ years of experience in fraud analytics, risk management, or data analytics.
  • Proven track record of developing and implementing fraud detection systems.

Benefits:

  • Contribute to preventing financial crimes and making a meaningful impact.
  • Work with a dynamic team to develop and deploy cutting-edge analytics solutions.

Qualifications:

  • Expertise in data analytics tools (e.g., Python, R, SQL, SAS).
  • Familiarity with machine learning platforms and fraud detection software.
  • Knowledge of industry-specific regulations and compliance standards.

Competencies:

  • Strong analytical and problem-solving skills.
  • Excellent leadership and team-building abilities.
  • Strategic thinker with strong business acumen.
  • Effective communicator with the ability to convey complex data insights.

Responsibilities: Develop predictive analytics models and machine learning algorithms to detect fraud and anomalies. Enhance existing fraud monitoring systems to improve detection accuracy and reduce false positives. Provide data-driven insights to stakeholders on vulnerabilities and recommend proactive measures.

Requirements: Master's degree in data science, statistics, economics, or a related field. 10+ years of experience in fraud analytics, risk management, or data analytics. Proven track record of developing and implementing fraud detection systems.

Skills: Expertise in data analytics tools (e.g., Python, R, SQL, SAS). Familiarity with machine learning platforms and fraud detection software. Knowledge of industry-specific regulations and compliance standards.

Benefits: Contribute to preventing financial crimes and making a meaningful impact. Work with a dynamic team to develop and deploy cutting-edge analytics solutions.



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