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Fraud Risk Specialist

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Kottayam, Kerala, India beBeeFraudRisk Full time ₹ 1,00,00,000 - ₹ 1,50,00,000
Job Title: Fraud Risk Specialist

About the Role:

Our team is seeking a skilled Fraud Risk Specialist to join our efforts in detecting and preventing fraudulent activities. In this role, you will be responsible for analyzing complex data sets, identifying patterns and anomalies, and developing predictive models to mitigate risk.

Key Responsibilities:

  1. Develop and Implement Fraud Detection Models: Design and deploy predictive analytics models and machine learning algorithms to identify suspicious activities and patterns.
  2. Enhance Systems: Continuously optimize fraud monitoring systems to improve detection accuracy and reduce false positives.
  3. Provide Data-Driven Insights: Analyze internal and external data sources to identify vulnerabilities and recommend proactive measures.
  4. Define and Track Key Performance Indicators (KPIs): Measure the effectiveness of fraud detection strategies.

Market Intelligence:

  • Stay Updated on Emerging Trends: Stay informed about emerging fraud tactics, industry benchmarks, and regulatory changes.
  • Competitor Analysis: Analyze competitors' risk management strategies to identify opportunities for improvement.
  • Market Trend Analysis: Provide actionable insights from market intelligence to inform strategic decision-making.

Team Leadership:

  • Build and Lead a High-Performing Team: Recruit, develop, and mentor a team of data analysts, data scientists, and market intelligence specialists.
  • Stakeholder Collaboration: Work closely with risk management, compliance, IT, and other departments to ensure alignment and effective communication.

Qualifications:

Education:

• Master's degree in data science, statistics, economics, business administration, or a related field.

Experience:

• 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.

Key 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 to non-technical stakeholders.