American Express Off Campus Drive 2023 Hiring Analyst Data Science for BE/BTech/ME/MTech Candidates Can Apply online from below details. Candidates who are interested in American Express Off Campus Job Openings can go through the below to get more information.
American Express hiring Analyst Data Science
Company: American Express
Qualifications: BE/BTech/ME/MTech
Experience Needed: 0-3 years
Location: Gurgaon
Req ID: 23013330
Functional Description
Accertify is a wholly owned subsidiary of American Express and a leading provider of fraud prevention, chargeback management, and payment gateway solutions to online merchants spanning diverse industries worldwide.
As part of the Accertify Fraud Decision Sciences team in CFR, the incumbent will be primarily responsible for building and providing industry leading Decision Science Solutions and Data Products for Accertify’s clients. Successful solutions will improve the efficiency of Accertify fraud solutions to merchants – more automatic decision and fewer manual review – while maintaining or improving fraud prevention and opening new revenue streams
Key Responsibilities:
Deliver fraud prevention solutions for Accertify’ s clients
Understand the key drivers / behaviors associated with different types of Fraud
Being abreast of the latest fraud trends and problems being faced by the industry and Accertify clients
Drive Modeling innovation: Develop new and enhance existing models by utilizing the best-in-class machine learning / AI techniques
Elevate Data Science: Perform Feature Engineering using data from clients spanning various industries across the globe to improve model’s risk discrimination or improve economics over and above existing framework
Partner and collaborate with multiple Accertify colleagues to implement models & develop Capabilities that will help in more optimal decision and drive revenue
Critical Factors to Success:
Business Outcomes: Drive Revenue growth and profitability through advanced analytical techniques; Innovation in use of Modeling Techniques and Variable creation.
Leadership Outcomes: Put enterprise thinking first – connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues.
Lead with an external perspective – challenge status quo and bring continuous innovation to our existing offerings while keeping a keen eye on industry/competition
Build the Best Team – nurture and enhance team’s ML/AI skills, data expertise and Consulting skills
Demonstrate Learning Agility – make decisions quickly with highest level of integrity
Minimum Qualifications:
0-3 years with relevant experience in the Analytics/ Modelling/ Decision Science domain
Postgraduate in Statistics/Mathematics/Economics/ Engineering/Management
Data Science/Machine Learning/Artificial Intelligence: Gradient Boosting Machines, Deep Learning, Unsupervised Techniques, Decision Trees etc.
Understanding of Advanced Statistical Techniques and Key model performance metrics ex. Data Correlation; AUC/GINI, Precision, Recall
Knowledge of R, Python, PySpark, SAS, SQL; Advanced Excel and PowerPoint
Behavioral Skills/Capabilities
Set the Agenda- Strong quantitative skills with demonstrated ability to lead and perform analysis
Ability to connect and utilize a wide array of seemingly unstructured data attributes
Bring Others with You – Building trusting relationships and a strong collaborator with the ability to influence others
Drives Results – Attention to detail and high-quality execution and ability to manage multiple projects concurrently in an environment of tight deadlines
Communicate Frequently, Candidly and Clearly
Make Decisions Quickly & Effectively
About Company
American Express Company is an American multinational financial services corporation that specializes in payment cards. Headquartered in New York City, it is one of the most valuable companies in the world and one of the 30 components of the Dow Jones Industrial Average.
Company Website: americanexpress.com
