In India, the total size of the traveller’s cheque market is estimated over $ 1 billion a year and has been growing at about 2-3 percent a year; whereas American Express sales grew at over 20 per cent in 2003-04. American Express estimates that over 50 per cent of Indian leisure travellers carry traveller’s cheques and it has a significant market share in India.
American Express has been continuously launching innovative products in its stronghold areas of credit cards and travellers’ cheques.
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Handling these key tasks like credit card transactions at this frequency leaves no room for errors and Amex provides a foolproof system by deploying state-of-the-art machine learning algorithms.
Here some of the lucrative jobs at Amex India in Gurgaon where data analytics skills can be put to the best use:
Business Analyst /Assistant Manager- Credit Fraud and Risk- Strategy
Business Analyst- Risk Strategy will responsible to develop and enhance existing American Express risk strategies / statistical models by leveraging best-in-class modelling techniques and data across various stages of card member lifecycle.
- Post Graduate Degree in Statistics/Mathematics/Economics/ Engineering/Management
- SAS, R, Python, Hive, Pyspark, SQL
- Advanced Statistical Techniques
- Hands-on programming and the ability to design
- 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
- Gradient boosting machines, self-reinforcing algorithms
- Big Data: Cornerstone, Teradata, BlueLight
Business Analyst – Global Commercial Data Sciences
Global Commercial Data Sciences function focuses on providing data Science solutions for effective targeting of Commercial card and non-card products.
The role would be a part of International Commercial Prospecting team and would focus on delivering data science solutions for Commercial prospecting in International markets
- 0-3 years of relevant experience in Analytics/Modeling
- Masters Degree In Business Administration, Statistics, Mathematics, Economics, Engineering or related fields
- Understanding of credit card business
- Strong communication & interpersonal skills and ability to work effectively in a team environment
- Machine Learning Algorithms, Statistical Predictive Modeling
- Hive, SAS/SQL, Hadoop
Business Analyst – Global Collection Decision Science
Business Analyst-GCDS will work on the development and enhancement of Customer collections modelling suite and driving the next round of modelling enhancements.
- Master’s degree in a quantitative discipline
- Strong aptitude to work in a modelling/analytical role
- Strong verbal, written and interpersonal communication skills
- Experience in SAS, Hive, Python
- Cornerstone, Teradata, Machine Learning Platforms in AXP system
Senior Data Engineer – Python, Machine Learning, Spark, REST API
A senior Data Engineer will be part of the Financial Data Engineering team which drives delivery of technology solutions for Global Finance & Tax. The team oversees leading edge technologies involving advanced & standard accounting, robotics and cognitive automation, workflow orchestration, API integration, CI/CD and DevOps.
- Bachelor’s/master’s Degree in engineering, Physics, Mathematics, Computer Science.
- 8+ years of software development experience with proven hands-on experience in one or more technologies
- Knowledge of Python and Spark
- Strong programming skills in WEB DEVELOPMENT React/Node, R/Shiny/Django
- Strong programming skills in RESTFUL API Integration
- Familiar with Agile or other rapid application development method
- Understanding of different Algorithms & Machine Learning techniques and their application
- Strong analytical/conceptual thinking acumen to solve unstructured and complex business problems
Senior Software Engineer – Java, Data structures, Algorithms, Hadoop
Senior Software Engineer’s role is centric to the company’s Big Data and batch/real-time analytical solutions leveraging transformational technologies (Hadoop, HDFS, MapReduce, Spark, Hive, HBase, Pig, etc.) to deliver innovative solutions across multiple business units (e.g., GIM, EDA, GCP, Loyalty, etc.).
- A Bachelor’s degree in computer science, computer engineering, other technical disciplines, or equivalent work experience.
- 10+ years of software development experience with proven hands-on experience in BigData technologies.
- Strong programming knowledge in Java
- Hands-on experience in Big Data technologies (at least MapReduce, Hive and Hbase)
- Understanding and experience with UNIX / Shell / Perl / Python scripting
- Database query optimization and indexing
- Web services design and implementation using REST / SOAP