Fraud Analytics Strategist – Data Scientist

Testing Site - JPMC; Greater London; Sur place; GBP 70 000 - 110 000; Plein temps

Résumé du poste

JPMorgan Chase UK is seeking a Fraud Data Scientist to join its International Consumer Bank fraud analytics team, delivering end-to-end analytics within a fintech context. You’ll contribute to fraud strategy, model development, and the SDLC lifecycle for products and channels.

You’ll thrive in a collaborative squad, hold a master’s in STEM, and bring experience in fraud processes and leadership. Strong communication and the ability to translate strategy into action are essential.

Qualifications

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

Responsabilités

• 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

Connaissances

Fraud detection

Data science

Leadership

Stakeholder management

Formation

Master's degree in STEM fields

Description du poste

JPMorgan Chase UK is seeking a Fraud Data Scientist to join its International Consumer Bank fraud analytics team, delivering end-to-end analytics within a fintech context. You’ll contribute to fraud strategy, model development, and the SDLC lifecycle for products and channels.

You’ll thrive in a collaborative squad, hold a master’s in STEM, and bring experience in fraud processes and leadership. Strong communication and the ability to translate strategy into action are essential.