As a fraud data scientist 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:
- Responsible for development and implementation of fraud strategies/rules to effectively detect fraudulent activities
- Conduct analytics to support fraud product, fraud operations and fin crime to protect the financial interest of the customers and the bank
- Conduct analytics to support fraud operation team to improve efficiency and decision accuracy, including translation of fraud strategy into fraud operation impact
- Working with the 2nd line fraud risk teams to ensure models, rulesets and strategies are effective.
- Ensuring all compliance, audit & control frameworks are followed – using data to support the confirmation of these processes are adhered to regulation standard.
- Sharing best practice across JP Morgan Chase & Co.
- 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 processes and products
- Team development and management experience required.