AI Researcher

American Express • Full-time • London, GB • 1w ago

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

AI Labs is seeking an AI Researcher to help push the frontiers of machine learning and risk modeling at American Express. AI Labs is a machine learning research group within the Global Decision Science (GDS) business unit of Credit and Fraud Risk (CFR).

The AI Researcher will play a critical role in the research and development of novel, high-impact modeling approaches which improve credit and risk management. Additionally, they will serve as a thought leader who can communicate these ideas and educate technical and non-technical leaders on their business value across the enterprise. The ideal candidate will have strong background in data science and machine learning, proven ability to research novel ML approaches and connect techniques to real-world business problems in actionable ways, and excellent written and verbal communication skills.

How will you make an impact in this role?

Be a Curious Researcher: Research and develop new modeling techniques, methodologies, and paradigms, leveraging internal and external insights from academia and industry to identify approaches with strong business outcomes in credit and fraud risk. Establish proofs of concept of novel approaches. Develop new metrics to better capture model differences.
Be a Thought Leader: Inform and educate peers and leaders across the enterprise on the business benefits of new techniques. Present findings, recommendations, and results successfully to both technical and non-technical audiences, including executive leadership, via clear reports, visualizations, and presentations.
Collaborate Across Teams: Establish and maintain close relationships with cross-functional partners to understand business strategies, develop goals, and address opportunities.

Minimum Qualifications:

PhD or Master’s degree in Data Science, Mathematics, Computer Science, Statistics, Engineering, or related STEM field.
Industry experience is preferred.
Proven problem-solving skills and research ability, leveraging external insights from academia and industry.
Great communication skills; able to explain methodologies and business impact to both technical and non-technical peers and leaders, including executive leadership.
Strong fundamental statistical modeling and ML knowledge, e.g. regression, clustering, hypothesis testing, GBMs, neural networks. Hands-on experience applying such algorithms to real-world business problems.
High Proficiency in Python programming is required.
Strong fundamental deep learning compute background, including knowledge of packages such as PyTorch and Tensorflow.
Knowledge of database tools, e.g. SQL, BigQuery, and familiarity with big data platforms, e.g. Hadoop, Hive, Spark.
Experience in big data environments, including data processing and handling, and cloud computing platforms such, e.g. Amazon Web Services, Google Cloud Platform.
Strong analytical and conceptual thinking, with demonstrated ability of translating complex, unstructured business problems into ML modeling problems.
Proficiency with data visualization and reporting tools, e.g. matplotlib, seaborn, altair
Proficiency with industry recognized ETL methods, processes and standards
Ability to work independently as well as on a small team.

Preferred Qualifications:

Familiarity with credit card/installment loan industry
Familiarity with causal inference, reinforcement learning.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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