Data Analysis
₹599

(Bundled programs available at a 50% discount)

Harnessing the Power of Data to Detect and Prevent Credit Card Fraud

Gain work exposure as a big data engineer in a risk-free way at Amex. This work exposure program helps you get immersed in simulated workplace scenarios to acquire and apply real-world knowledge of data analytics.

Case Study

The Background:

One of the most prevalent — and preventable — types of cybercrime is credit card fraud, which is exacerbated by the growth in online transactions.

Developing techniques that more accurately identify and decline fraudulent purchase attempts helps Amex protect its customers and merchants.

The Challenge:

Millions of buyers and millions of sellers together make billions of transactions that lead to over a trillion combinations and dollars in transactions a year in charge volume.

Hence, Amex must try to provide customers with a safe way to pay, reduce the amount of fraud, and create trust within the customers.

The Solution:

In most financial fraud use cases, machine learning systems are built on historical transactional data.

The systems use deep learning models to scan incoming payments in real-time, identify patterns associated with fraudulent transactions, and then flag anomalies.

  •    2-3 hours to complete
  • Program Access Period:  30 days
  • Download Material:  Case study in PDF
  • Learning: 100% online on your mobile or computer
  • Schedule:  Self-paced and learn on your own schedule
  • Level:  Intermediate (Basic understanding of relevant concepts and skills)
  • Language:  English

Explore

Big Data Engineer Job Role

01

Experience

Real-World Work

02

Grow

Your Network

03

Gain

Work Opportunity

04

Work Exposure Program Schedule

1. Career Overview

Course Overview

Go through an introduction about data analytics including types, methods, tools used, key skills associated with analytics, and career outlook including the salary, job titles and prospects.

2. Simulation Instructions

Test Driving Instructions

Simulation immerses you in a workplace environment to explore the job and case study. Instructions that help you to complete the job simulation and case study with ease are included here.

3. Job Simulation

Basics

Job simulation allows you to shadow and closely observe a 'Day in the Life of' an employee's routine through a video or an immersive study. It is an informal way to learn what it is like to perform this job and develop a deeper knowledge and understanding of it.

4. Harnessing the Power of Data to Detect and Prevent Credit Card Fraud

Case Study

Amex

Using data analytics and machine learning, how American Express detects and prevents fraudulent transactions before a substantial loss is incurred while allowing normal business transactions to proceed in a timely manner.

5. Company Task

Task from Amex

Experience

Study the real-world problem, devise innovative solutions, learn how to apply what you learn and demonstrate your expertise in the assigned task.

6. Informational Interview

Assessment

An informational interview is a brief meeting between a person who wants to investigate a career and a person working in that career. The purpose of an informational interview is to gather information about the industry, job role, career progression, challenges, required skills and learn about the professional's career journey.

What You Gain

This work exposure program not only allows you to explore the job role and work on an interesting assignment but also gives you the chance to demonstrate your abilities to the potential employer.

Learner Reviews

FAQs

Who can take this work exposure program?

What is the eligibility criteria?

You must have basic to intermediate knowledge of data analytics to participate in this work exposure program.

What if I'm a beginner in data analytics?

You may find it difficult to do the company task unless you have at least a basic knowledge of data analytics. Still if you just want to explore this job role, you can complete the job simulation that is built with beginners in mind.

Why should I pay for this work exposure program rather than get paid?

You pay only a nominal fee of ₹599 to take this work exposure program but the experience you receive is priceless. An employer is likely to recognize the sacrifice involved and attribute your hard work to the task. It also demonstrates your sincere pursuit in a field, as pay did not dictate your work. An unpaid work exposure can also lead to a paid position with an employer in the future.

Will I get a job on completing this work exposure program successfully?

While there's no such assurance, you might be provided with a long-term internship or job opportunity by the host company. This is done at the sole discretion of the host company.

Is the work exposure program 100% online?

Yes, it is 100% online. A reliable internet connection is required to take this work exposure program.

Should I download any app or software to access the work exposure program modules?

No download or installation is required, and the work exposure program is browser-based. The entire program can be completed from your browser, so you don’t need to install any new software or hardware. For the best experience, we recommend using latest versions of Chrome, Safari, or Firefox.

Which device should I use to access the work exposure program?

You can access the program from any device of your choice: PC, laptop, tablet, or mobile phone (iOS, Android, and Windows Phone).

Will I get a certificate?

You will get co-certified by Truly Responsible and the host company on completing this work exposure program.

Can I add this work exposure to my resume?

You can very well add this work exposure and add value to your resume. Including an unpaid work exposure in your resume has the potential to reflect positively on you.