Job Title: Fraud Data Analyst Head

Location: Gurugram

Experience: 10+ Years

Fraud Analytics
Develop Fraud Detection Models: Design and deploy predictive analytics models and machine learning algorithms to identify suspicious activities and patterns.
Enhance Systems: Continuously optimize fraud monitoring systems to improve detection accuracy and reduce false positives.
Data-Driven Insights: Analyse internal and external data sources to identify vulnerabilities and recommend proactive measures.
Performance Metrics: Define and track key performance indicators (KPIs) to measure the effectiveness of fraud detection strategies.

Market Intelligence
Industry Monitoring: Stay updated on emerging fraud tactics, industry benchmarks, and regulatory changes.
Competitor Analysis: Analyze competitors risk management strategies to identify prospects for improvement.
Market Trends: Provide actionable insights from market intelligence to inform strategic decision-making.

Team Leadership
Build and Lead: Recruit, develop, and mentor a high-performing 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

• Masters 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

• Robust analytical and problem-solving skills.

• Exce

📌 Head Fraud Data Analyst Gurugram
🏢 Bean HR Consulting
📍 Gurugram