Job Description

:Job Title: Engagement Manager, Fraud Analytics SpecialistLocation: Noida/GurgaonEmployment Type: Full-TimeIndustry: Banking & Financial Services, AnalyticsJob SummaryWe are seeking a highly experienced Engagement Manager, Fraud Analytics with 10+ years of experience in banking and financial services. The ideal candidate should have a strong background in SQL and Python for data analysis, fraud detection, and predictive modeling. This role requires proven leadership experience in managing large teams and developing fraud prevention strategies.Key Responsibilities

• Lead and mentor a team of fraud analysts, data scientists, and engineers.

• Develop and implement fraud detection models using machine learning and statistical techniques.

• Utilize SQL and Python to extract, analyze, and interpret fraud trends from large datasets.

• Monitor and enhance fraud prevention frameworks to minimize financial losses.

• Collaborate with risk management, compliance, and technology teams to strengthen fraud controls.

• Design and optimize real-time fraud monitoring systems and automated alerts.

• Provide insights and recommendations based on data-driven risk assessments.

• Stay updated on emerging fraud patterns, regulatory requirements, and industry best practices.

Required Qualifications & Skills

• 10+ years of experience in fraud analytics, risk management, or financial crime analytics in the banking sector.

• Strong SQL and Python proficiency for data manipulation and predictive modeling.

• Hands-on experience with fraud detection techniques, anomaly detection, and behavioral analytics.

• Proven ability to lead and manage large teams in fraud prevention and data analytics.

• Experience working with big data platforms (Hadoop, Spark, etc.) and cloud-based analytics tools.

• Familiarity with machine learning frameworks (Scikit-Learn, TensorFlow, etc.) is a plus.

• Excellent problem-solving, stakeholder management, and decision-making skills.

• Strong communication skills to present fraud insights to senior leadership.

Preferred Qualifications

• Masters or Bachelors degree in Economics, Statistics, Finance, Data Science, or a related quantitative field.

• BTech/MTech/MBA from Tier 1 colleges (IIT, NIT, IIM)

• Certifications in fraud risk management (e.g., CFE Certified Fraud Examiner) are a plus.

This role offers a dynamic opportunity to drive fraud prevention strategies at scale and make a significant impact on financial security. If you have the expertise and leadership to combat fraud in banking, we encourage you to apply.

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