Job responsibilities:
There are three Job families within Enterprise Credit & Fraud Risk Management. Specific job responsibilities vary as per the Job family.
Decision Sciences:
Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing
Strategy and Insights:
Development, review and/or execution of economic logic & analytical solutions to drive profitable marketing or credit business actions.
AI Research:
AI Researchers in Amex AI Labs work on cutting edge science and technology around Deep Learning, Data Science, NLP, and Cloud technologies. The team works on challenging research problems in domains such as services, human resource management, travel & lifestyle, and many more. The key goal is to progress the state of the art in science and develop products to solve business problems
Responsibilities:
Decision Science, Strategy and Insights:
- Analyze large amounts of data to derive business insights and create innovative solutions
- Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
- Innovate with a focus on developing newer and better approaches using big data & machine learning solution
AI Research:
- Ideate and contribute to innovations to help solve business problems
- Read, understand papers in AI and ML and use the concepts to come up with novel ideas
- Perform POC on Ideas and concepts to test feasibility
- Contribute to product strategy and roadmap; recommend the nature and scope of present and future state of the AI Platforms.
- Contribute to patents and publication of research
Critical Factors to Success:
Business Outcomes:
- Drive billing, revenue growth and profitability through advanced analytical techniques
- Maximize business returns by institutionalizing efficient and accurate models.
- Innovate Modeling Techniques and Variable creation
- Ensure Modeling Accuracy and enhance modeling efficiency in existing processes using Machine Learning
Leadership Outcomes:
- Put enterprise thinking first, connect the roles agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
- Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
- Demonstrate learning agility, make decisions quickly and with the highest level of integrity
- Lead with a digital mindset and deliver the worlds best customer experiences every day
Academic Background:
MBA, Masters Degree In Economics, Statistics, Computer Science Or related fields
For AI Researcher - Bachelors/Masters/PhD in a quantitative field like Computer Science, Operations Research, Statistics etc.
Past Experience:
0-6 years experience in analytics, big data workstreams
Functional Skills/Capabilities:
- Ability to drive project deliverables to achieve business results
- Ability to work effectively in a team environment
- Strong communication and interpersonal skills
- Ability to learn quickly and work independently
- Good Programming skills are a must
- Excellent problem formulation and solving skills
Technical Skills/Capabilities:
1. Analytics & Insights & Targeting
- SAS, R, Python, Hive, Spark, SQL
- Advanced Statistical Techniques
- Hands on programming and ability to design
2. Data Science/Machine Learning/Artificial Intelligence
- Expertise in Coding, Algorithm, High Performance Computing
- Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.
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