American Express Careers
Analyst - Decision science
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.
The role is part of Credit and fraud risk decision science team.The broader team is responsible for creating Global credit default models and doing feature engineering for the same
Purpose of the Role:
The selected candidate will be a part of the team that is responsible for development, maintenance and enhancement of Global CDSS and TSR models for customers
The candidate will drive the next generation of customer risk models by leveraging big data, machine learning algorithms and enhanced variable & data intelligence. The candidate will also have to work closely with partners in the risk strategy teams to drive innovations in customer management decisions through development of best in class solutions.
Success in the role requires strong analytical mindset ,and detail orientation.Knowledge of Big data and machine learning is a plus.
Minimum 1 year of experience in analytics with strong focus on modeling solutions.
MBA or Masters in Technology/Engeineering From a Reputed Institute
Knowledge of credit card/financial industry is a plus.Prior modelling experience is required.
Our work mostly requires Python/Pyspark.Prior knowledge of same is a big plus.
Knowledge of Platforms:
Enterprise Leadership Behaviors
• Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
• Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
• Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Feb 11, 2019, 11:42:26 PM