Fraud Data Analyst

7 days ago

Gurgaon, Haryana, India Airtel Payments Bank Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Fraud Analytics

  1. Develop 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. Data-Driven Insights: Analyze internal and external data sources to identify vulnerabilities and recommend proactive measures.

  4. Performance Metrics: Define and track key performance indicators (KPIs) to measure the effectiveness of fraud detection strategies.

Market Intelligence

  1. Industry Monitoring: Stay updated on emerging fraud tactics, industry benchmarks, and regulatory changes.

  2. Competitor Analysis: Analyze competitors' risk management strategies to identify opportunities for improvement.

  3. Market Trends: Provide actionable insights from market intelligence to inform strategic decision-making.

Team Leadership

  1. Build and Lead: Recruit, develop, and mentor a high-performing team of data analysts, data scientists, and market intelligence specialists.

  2. 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.

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