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Job description

You'll do more than the expected. You'll do the unexpected.

Purpose of the Role:

The Decision Sciences Consultant role is responsible for completing analysis, developing strategies and building models to leverage Accertify data capabilities and/or models for clients. This role is also responsible for speaking with current Clients and prospects about Accertify's Decision Sciences capabilities and services.


  • Conduct analysis to build and implement Machine Learning models for new or existing services
  • Research and development of Accertify analytically related services and community products
  • Completing analysis to help improve Accertify business
  • Speak with Prospects and current clients about Accertify Decision Sciences capabilities and service

Accertify and InAuth, divisions of American Express, are leading providers of fraud prevention, chargeback management, device intelligence and payment gateway solutions to customers spanning diverse industries worldwide.

Together, we have demonstrated tremendous growth and value to our impressive list of merchants that we protect. This continued rapid growth creates additional opportunities to continue to grow the value we provide to our Clients in decisioning, community and big data capabilities.

Salary: Competitive
Opening date for applications: 02/10/2019

Closing date for applications: 29/10/2019

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


  • Experience building and implementing Machine Learning (ML) models for clients and leveraging other statistical techniques

  • Demonstrated ability to independently drive results as self-starter and manage multiple projects concurrently in an environment of changing tight deadlines

  • Clear communication, careful attention to detail and high quality execution

  • Exceptional ability to think strategically and analytically

  • Experience presenting to clients and senior stakeholders

  • Knowledge and experience working within Security & Fraud industry and their products and services

  • Proven ability to understand business challenges and formulate value adding data driven recommendations

  • Proven ability to build collaborative, trusting relationships

  • Strong written/oral communications skills are required

  • Experience and ability to work in a fast-paced dynamic environment

  • University degree in quantitative decision science field (e.g., MBA, Economics, Econometrics, Statistics, Industrial Engineering) or equivalent experience

Why American Express?

There's a difference between having a job and making a difference.

American Express has been making a difference in people's lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards.

We've also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive. We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community. And when they're ready to take on a new career path, we're right there with them, giving them the guidance and momentum into the best future they envision.

Because we believe that the best way to back our customers is to back our people.

The powerful backing of American Express.
Don't make a difference without it.
Don't live life without it.

To complete your application please click on the links below. However, if you require any assistance with the completion of this process - or need any reasonable adjustments to be made - then please contact the Recruitment Team on recruitment.support.uk@aexp.com or 00800 83 000038 (for Russia based candidates 810 800 83 000038).

Job Sector
Job Position
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Post date
Closing date

How would you fit?

Learn more about American Express

Be unique. Be authentic. However you prefer to say it, we really mean it. Our culture embraces people’s diverse perspectives and creates a positive environment where everyone belongs. We’re determined to build a better, more connected world for everyone.

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