JPMorgan Data Scientist Lead - Fraud Analytics 

India, Karnataka, Bengaluru 

204793538

As a Data Scientist Lead - Fraud Analytics at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages.

Job spec requirements:

The Fraud & Financial crime Product function leads the 1st line of defense business for fraud & financial crime risk, including ownership of the fraud & financial crime strategy and control framework across all products and channels. Working inside a specialist fraud team to ensure transaction monitoring and controls are optimized to reduce fraud & financial crime risk whilst ensuring 1class client experience – you will be supporting the product from an Analytics perspective.

Job responsibilities:

• Develop and implement fraud strategies/rules to effectively detect fraudulent activities.
• Analyze data to support fraud product, fraud operations, and financial crime efforts to protect the financial interests of the customers and the bank.
• Analyze data to support the fraud operation team to improve efficiency and decision accuracy, including translating fraud strategy into fraud operation impact.
• Collaborate with the 2nd line fraud risk teams to ensure models, rulesets, and strategies are effective.
• Ensure all compliance, audit, and control frameworks are followed – using data to confirm these processes adhere to regulation standards.
• Share best practices across JP Morgan Chase & Co.
• Communicate effectively with superior written, oral communication, and presentation skills, with experience communicating concisely and effectively with all levels of management and partners

Required qualifications, capabilities and skills

• Master’s degree in numeric fields or STEM related fields, such as statistics, computer science, data science, etc
• Knowledge of Fraud/Financial Crime process and products
• Team development and management experience required.