American Express Recruitment 2023 for Analyst – Data Science. Interested Candidates can go through the details and apply using the link provided at the bottom of the Post.
About American Express
American Express, often referred to as Amex, is a renowned financial services corporation headquartered in New York City. Established in 1850, it has a rich history of providing a wide range of financial products and services to its customers, including credit cards, charge cards, traveler’s checks, and various banking solutions. What sets American Express apart is its focus on premium customer service and its iconic membership rewards program, which offers cardholders a plethora of benefits and perks. With a global presence and a reputation for financial stability, American Express continues to be a trusted partner for individuals and businesses alike, offering them the convenience and security they need in an ever-evolving financial landscape.
American Express Recruitment 2023
| Company name | American Express |
| Website | www.Americanexpress.com |
| Job Role | Analyst – Data Science |
| Work Location | Gurgaon, Haryana, India |
| Job Type | Full Time |
| Experience | 0-3 years |
| Qualification | Postgraduate in Statistics/Mathematics/Economics/ Engineering/Management |
| Batch | Not Mentioned |
| Package | 8 – 13 LPA(Expected) |
Job Description
American Express is currently seeking candidates for the position of Analyst-Data Science.
Candidate Responsibilities:
- Deliver fraud prevention solutions for Accertify’s clients.
- Understand the key drivers/behaviors associated with different types of fraud.
- Stay informed about the latest fraud trends and challenges faced by the industry and Accertify clients.
- Drive modeling innovation by developing new and enhancing existing models using state-of-the-art machine learning/AI techniques.
- Elevate Data Science by performing feature engineering with data from clients across various industries globally to improve model risk discrimination or enhance economics beyond the existing framework.
- Collaborate with multiple Accertify colleagues to implement models and develop capabilities that optimize decision-making and drive revenue.
Candidate Requirements:
- 0-3 years of relevant experience in the Analytics/Modeling/Decision Science domain.
- Postgraduate degree in Statistics, Mathematics, Economics, Engineering, or Management.
- Knowledge of Data Science/Machine Learning/Artificial Intelligence, including Gradient Boosting Machines, Deep Learning, Unsupervised Techniques, and Decision Trees.
- Understanding of advanced statistical techniques and key model performance metrics such as data correlation, AUC/GINI, Precision, and Recall.
- Proficiency in R, Python, PySpark, SAS, SQL, and advanced Excel and PowerPoint skills.
How to Apply?
- To apply for a job, read through all information provided on the job listing page carefully.
- Look for the apply link on the job listing page, usually located somewhere on the page.
- Clicking on the apply link will take you to the company’s application portal.
- Enter your personal details and any other information requested by the company in the application portal.
- Pay close attention to the instructions provided and fill out all necessary fields accurately and completely.
- Double-check all the information provided before submitting the application.
- Ensure that your contact information is correct and up-to-date, and accurately reflect your qualifications and experience.
- Submitting an application with incorrect or incomplete information could harm your chances of being selected for an interview.
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