Fraud - Data Scientist Lead

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We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionise mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK – but how we do things here is a little different. We're building the bank of the future from scratch, channelling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact.

As a fraud data scientist at JPMorgan Chase within the International Consumer Bank, you will be part of a flat-structure organization. Your responsibilities include delivering end-to-end solutions as cloud-native microservices applications, leveraging the latest technologies and industry best practices. You will be involved in the design and architecture of these solutions and focus on all stages of the SDLC lifecycle.

Our fraud analytics team is central to this venture, focused on transforming innovative ideas into customer solutions. We seek individuals with a curious mindset, who thrive in collaborative squads, and are passionate about new technology. Our team is solution-oriented, commercially savvy, and interested in fintech. We work in tribes and squads dedicated to specific products and projects, with opportunities to move between them based on your strengths and interests.

Job spec requirements:

The Fraud & Financial Crime Product function leads the first line of defense for fraud and financial crime risk, including strategy development and control framework management across all products and channels. Working within a specialized fraud team, you will ensure transaction monitoring and controls are optimized to reduce fraud and financial crime risk while maintaining a first-class client experience. You will support the product from an analytics perspective.

Job responsibilities:

• Develop and implement fraud strategies and rules to effectively detect fraudulent activities.
• Conduct analytics to support fraud product, operations, and financial crime initiatives to protect customer and bank interests.
• Support fraud operations to improve efficiency and decision accuracy, translating fraud strategy into operational impact.
• Collaborate with second-line fraud risk teams to ensure models, rulesets, and strategies are effective.
• Ensure compliance with audit and control frameworks, using data to verify adherence to regulatory standards.
• Communicate effectively across all management levels with strong written, oral, and presentation skills.

Required qualifications, capabilities, and skills:

• Master’s degree in quantitative or STEM fields, such as statistics, computer science, or data science.
• Knowledge of fraud and financial crime processes and products.
• Experience in team development and management.