Data Scientist – Fraud Strategic Analytics Associate

JPMorgan Chase JPMorgan Chase · Banking · LONDON, LONDON, United Kingdom · Corporate Sector

This role involves developing and implementing fraud detection strategies and rules using data analytics and potentially machine learning models within a digital banking environment. The focus is on creating end-to-end solutions, working with cloud-native microservices, and ensuring compliance with regulations. The role supports fraud product, operations, and financial crime prevention, aiming to optimize detection and improve customer experience.

What you'd actually do

  1. Responsible for development and implementation of fraud strategies/rules to effectively detect fraudulent activities
  2. Conduct analytics to support fraud product, fraud operations and fin crime to protect the financial interest of the customers and the bank
  3. Conduct analytics to support fraud operation team to improve efficiency and decision accuracy, including translation of fraud strategy into fraud operation impact
  4. Working with the 2nd line fraud risk teams to ensure models, rulesets and strategies are effective.
  5. Ensuring all compliance, audit & control frameworks are followed – using data to support the confirmation of these processes are adhered to regulation standard.

Skills

Required

  • 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.

Nice to have

  • cloud-native microservices architecture
  • latest technologies
  • best industry practices
  • SDLC lifecycle stages
  • curious mindset
  • collaborative squads
  • new technology
  • solution-oriented
  • commercially savvy
  • head for fintech
  • Superior written, oral communication and presentation skills
  • experience communicating concisely and effectively with all levels of management and partners

What the JD emphasized

  • Team development and management experience required.

Other signals

  • fraud detection
  • machine learning models
  • rules engines
  • real-time systems