AI Researcher
CompanyAmerican Express
Location
London, England, United Kingdom
Employment TypeFull-time
Posted At6/26/2026
UK Visa Sponsorship Analytics
Occupation TypeBusiness and related research professionals
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£41,700
(£21.38 per hour)
Standard minimum applies
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Description
Job Description
Credit and Fraud Risk (CFR) is a global function, responsible for making the right credit and fraud risk decisions that uphold operational excellence, drive growth, and accelerate innovation across American Express. CFR combines technology and infrastructure with new computing techniques to make better risk decisions and provide real-time customer communications and fraud servicing.
AI Labs seeks an AI Researcher to contribute to advanced research that will power credit, fraud and marketing decisions. The candidate serves as a thought leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the models, and algorithms that power our customers’ digital experiences. This role sits at the intersection of applied AI research, large-scale AI platforms, and large-scale compute infrastructure. The AI researcher will help define and execute a forward-looking research agenda and help to translate cutting-edge machine learning, and systems innovation into scalable, governed, and business-critical AI capabilities. Role is focused on advanced modelling solutions for structured data (tabular data, sequence of events, timeseries, graph-based structures).
The ideal candidate will combine deep hand-on ML research expertise with strong practical knowledge and experience in building scalable infrastructure and data science platforms.
Colleagues in AI Labs serve as key members of the Global Decision Science organization within Credit and Fraud Risk at American Express. This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.
Our Global Decision Science teams use industry leading modelling and AI practices to predict customer behaviour. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.
Responsibilities
Credit and Fraud Risk (CFR) is a global function, responsible for making the right credit and fraud risk decisions that uphold operational excellence, drive growth, and accelerate innovation across American Express. CFR combines technology and infrastructure with new computing techniques to make better risk decisions and provide real-time customer communications and fraud servicing.
AI Labs seeks an AI Researcher to contribute to advanced research that will power credit, fraud and marketing decisions. The candidate serves as a thought leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the models, and algorithms that power our customers’ digital experiences. This role sits at the intersection of applied AI research, large-scale AI platforms, and large-scale compute infrastructure. The AI researcher will help define and execute a forward-looking research agenda and help to translate cutting-edge machine learning, and systems innovation into scalable, governed, and business-critical AI capabilities. Role is focused on advanced modelling solutions for structured data (tabular data, sequence of events, timeseries, graph-based structures).
The ideal candidate will combine deep hand-on ML research expertise with strong practical knowledge and experience in building scalable infrastructure and data science platforms.
Colleagues in AI Labs serve as key members of the Global Decision Science organization within Credit and Fraud Risk at American Express. This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.
Our Global Decision Science teams use industry leading modelling and AI practices to predict customer behaviour. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.
Responsibilities
- Lead research and drive integration into business for advanced AI research in areas such as graph-based methods, reinforcement learning, transformer-based models, tabular doundational models and causal-modelling techniques
- Lead research, development and implementation of Sequence-based foundational models for event streams, such customer actions and transaction histories.
- Partner with business users, technology and infrastructure teams to ensure solutions are flexible, secure, cost-effective, and compliant with enterprise standards
- Translate research outcomes into production-ready platforms, tools, and capabilities that are adopted at scale across the enterprise
- Provide thought leadership for research in Ai research and machine learning. Present and communicate research findings to senior leadership, influencing enterprise-level decision-making and strategic direction.
- Work in close partnership with other research teams in AI labs.
- Actively contribute to highly effective and engaged team culture focused on innovation.
- Ph.D degree in Computer Science, Statistics, Operations Research, Engineering, Mathematics, Economics, Physics, or a related quantitative field or equivalent work experience.
- Work experience in applied research lab organisations is a plus.
- Very strong record of applied research impact through platforms, patents, production systems, or enterprise-scale adoption, in addition to traditional publications.
- Expertise with GPU-accelerated ML workloads, high-performance computing, and advanced optimization techniques are essential.
- Expert knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning in areas such as transformer and attention-based architectures, deep learning for structured sequential and graph data, multi-task and transfer learning.
- Exceptional programming skills in Python, Spark. Additional knowledge of C/C++ and Java is preferred
About Us
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
About The Team
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)