Fraud Strategy Analytics - Vice President - Bengaluru/Mumbai

Location: Mumbai, Maharashtra, India

Job Family: Quant Analytics

About the Role

At JP Morgan Chase, we are at the forefront of redefining the future of financial services through innovative technology and analytics. As a Vice President in Fraud Strategy Analytics based in Bengaluru or Mumbai, you will play a pivotal role in safeguarding our clients' assets by designing and validating cutting-edge fraud strategies and capabilities. This position within the Quant Analytics category demands a blend of quantitative expertise and strategic thinking to combat sophisticated fraud threats in our global banking operations. You will leverage advanced analytics to protect transactions across payments, cards, and digital banking platforms, ensuring the integrity of one of the world's largest financial institutions. Your key responsibilities will include developing robust fraud detection models using statistical and machine learning techniques, analyzing vast datasets to uncover hidden patterns, and collaborating with technology and compliance teams to deploy real-time monitoring solutions. At JP Morgan Chase, you will conduct thorough back-testing and performance evaluations of fraud rules to optimize detection rates while minimizing disruptions to legitimate customer activities. This role offers the opportunity to influence fraud prevention strategies that impact millions of clients worldwide, contributing to the firm's commitment to secure and seamless financial experiences. We seek a proactive professional passionate about the intersection of finance and data science, with a track record of driving analytics initiatives in high-stakes environments. Joining JP Morgan Chase means becoming part of a collaborative culture that values innovation, diversity, and professional growth. In this Vice President role, you will have access to world-class resources, mentorship from industry leaders, and the chance to advance your career in a dynamic, global organization dedicated to excellence in financial services.

Key Responsibilities

• Design, develop, and validate fraud detection strategies and models to mitigate risks in payment and transaction systems
• Analyze large datasets to identify emerging fraud patterns and trends in the financial services sector
• Collaborate with cross-functional teams including technology, compliance, and business units to implement fraud capabilities
• Perform statistical analysis and back-testing of fraud rules to ensure effectiveness and minimize false positives
• Monitor and report on fraud metrics, providing insights to senior leadership at JP Morgan Chase
• Contribute to the enhancement of real-time fraud monitoring systems and AI-driven detection tools
• Conduct impact assessments for new products and ensure fraud strategies align with regulatory requirements
• Mentor junior analysts and drive innovation in fraud analytics methodologies
• Stay updated on industry best practices and evolving fraud threats in global banking
• Support audit and regulatory reviews by documenting fraud strategy processes and outcomes

Required Qualifications

• Bachelor's degree in Finance, Economics, Statistics, Computer Science, or a related quantitative field; Master's degree preferred
• 5+ years of experience in fraud analytics, risk management, or financial services analytics
• Proficiency in statistical modeling and data analysis using tools like Python, R, or SAS
• Strong understanding of fraud detection methodologies and payment systems in the financial industry
• Experience with large-scale data sets and database querying (SQL)
• Ability to work in a fast-paced environment and collaborate across global teams
• Relevant certifications such as CFA, FRM, or Certified Fraud Examiner (CFE)

Preferred Qualifications

• Advanced degree (MBA or MS in Data Science/Analytics)
• Experience in developing fraud prevention strategies at a major financial institution
• Knowledge of machine learning applications in fraud detection
• Prior work with regulatory compliance in fraud and AML (Anti-Money Laundering)
• Familiarity with JP Morgan Chase's internal tools and processes

Required Skills

• Advanced proficiency in Python or R for data analysis and modeling
• Expertise in SQL for querying large financial datasets
• Knowledge of machine learning algorithms for fraud prediction
• Statistical analysis and hypothesis testing skills
• Experience with big data technologies like Hadoop or Spark
• Understanding of financial regulations (e.g., PCI DSS, GDPR)
• Strong analytical and problem-solving abilities
• Excellent communication skills for presenting complex data insights
• Project management and stakeholder collaboration
• Attention to detail in validating fraud strategies
• Adaptability to evolving fraud landscapes
• Proficiency in visualization tools like Tableau or Power BI
• Risk assessment and scenario modeling
• Team leadership and mentoring capabilities
• Ethical judgment in handling sensitive financial data

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• Retirement savings plan with company matching contributions
• Paid time off, including vacation, sick leave, and parental leave
• Professional development programs and tuition reimbursement for advanced education
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at JP Morgan Chase offices
• Global mobility opportunities and relocation assistance for eligible roles

JP Morgan Chase is an equal opportunity employer.