Senior Manager - Risk Management

Get Referred

Job Description


Don’t just work for a market leading global company. Help grow one. 


New Customer Acquisition Underwriting Analytics and Data Science

 

Do you love discovering all that data can reveal? As part of our team, you’ll be working with one of the largest, most valuable and distinct data sets in the entire world.


The UK Consumer Acquisitions Team is part of the Risk & Information Management group within American Express. This team is responsible for acquiring customers through digitally advanced channels, leveraging a wide range and ever growing selection of data attributes. American Express is at the forefront of data science tools and machine learning capabilities, which combined with data innovation and business insights have transformed American Express UK into one of the highest growth markets in the company. In addition, the UK is uniquely placed as a credit market, with rich credit bureau data assets unparalleled anywhere else in the world, top talent in financial services, and a discerning population base which is both financially and digitally savvy.


Responsibilities


You will be challenged with designing and creating world class acquisition analytics by leveraging machine learning and advanced methodologies.  You will be expected to:

  • drive data insights

  • identify opportunities for profitable growth

  • perform data analysis & modeling

  • synthesize conclusions

  • communicate and present recommendations to partners

  • execute flawlessly

  • monitor results

The position is part of a highly collaborative environment, interacting with and influencing partners across the business – marketing, legal & compliance, fraud, operations and technologies teams.


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


Qualifications

  • University degree in quantitative field (e.g. Finance, Engineering, Physics, Mathematics, Computer Science and Economics) or MBA with quantitative background or equivalent experience required

  • Data mining skills and experience with Big Data programming languages is a plus

  • Strong technical and analytical acumen with the ability to apply both quantitative methods and business knowledge to create insights and drive results

  • Good communication and persuasion skills with an ability to translate technical analysis into business strategy recommendations; conceptualize and sell ideas to internal and external partners

  • Ability to build strong relationships with partners across business units

  • Demonstrated ability to work independently and within a matrix organization partnering with capabilities, decision sciences, technology teams and external vendors to deliver solutions quickly and effectively


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).

#LI-MU1



ReqID: 19018236
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Oct 10, 2019, 6:50:59 PM