Data Analytics Specialist

2 days ago

Lucknow, Uttar Pradesh, India beBeeFraud Full time ₹ 80,00,000 - ₹ 1,00,00,000

Fraud Risk Management Expert

Our organization is seeking a skilled Fraud Risk Management Expert to lead the development and implementation of fraud detection systems. The ideal candidate will have a strong background in data analytics, machine learning, and risk management.

Key Responsibilities:

  • Design and deploy predictive analytics models and machine learning algorithms to identify suspicious activities and patterns.
  • Continuously optimize fraud monitoring systems to improve detection accuracy and reduce false positives.
  • Analyze internal and external data sources to identify vulnerabilities and recommend proactive measures.
  • Define and track key performance indicators (KPIs) to measure the effectiveness of fraud detection strategies.

Market Intelligence:

  • Stay updated on emerging fraud tactics, industry benchmarks, and regulatory changes.
  • Analyze competitors' risk management strategies to identify opportunities for improvement.
  • Provide actionable insights from market intelligence to inform strategic decision-making.

Leadership and Collaboration:

  • Recruit, develop, and mentor a high-performing team of data analysts, data scientists, and market intelligence specialists.
  • Work closely with risk management, compliance, IT, and other departments to ensure alignment and effective communication.

Requirements:

  • Master's degree in data science, statistics, economics, business administration, 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.
  • Experience with market intelligence tools and competitive analysis.

Technical 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.

Qualifications:

  • 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 to non-technical stakeholders.

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