Description :

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 opportunities 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 :

- 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.