American Express Recruitment for Analyst – Data Analytics. 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 2024
Company name | American Express |
Website | www.Americanexpress.com |
Job Role | Analyst – Data Analytics |
Work Location | Gurgaon, Bengaluru |
Job Type | Full Time |
Experience | Entry Level |
Qualification | Preferred degree in a quantitative field (e.g., Finance, Statistics, Economics, Mathematics, or Engineering) |
Batch | Not Mentioned |
Package | 6 – 10 LPA(Expected) |
Job Description
This position is a component of the Financial Crime Risk Data Integrity team, tasked with transforming strategies aimed at combating financial crime. Our approach involves utilizing data analytics to drive the development of future Anti-Money Laundering (AML) solutions.
Key responsibilities entail:
- Conducting analytics to support various initiatives within FCR (Financial Crime Risk) in a dynamic regulatory landscape, employing SQL/Python.
- Handling extensive amounts of structured and unstructured data to extract meaningful insights.
- Monitoring the KYC/KYB status of Cardmembers and Legal Entity portfolios by creating dashboards (utilizing Tableau/Sisense).
- Formulating and implementing robust data-driven strategies to optimize AML risk management and improve customer experience.
- Collaborating with multiple teams (Compliance, Tech, PMO) to establish AML risk strategies and comprehend the regulatory framework in relevant markets.
Minimum Qualifications:
- Preferred degree in a quantitative field (e.g., Finance, Statistics, Economics, Mathematics, or Engineering).
Technical and Functional Skills/Capabilities:
- Proactive approach and proficient analytical skills.
- Ability to address unstructured problems using data.
- Strong process orientation and aptitude for collaboration.
- Exceptional critical thinking skills and attention to detail.
- Demonstrated drive and dedication to excel in a fast-paced, results-oriented environment, with proven capability in managing competing priorities.
- Self-motivated learner with the capacity to quickly grasp new concepts and techniques with minimal supervision.
- Proficiency with analytical tools (SQL, Hive, Python, R) is expected.
- Effective verbal and written communication skills, with the ability to convey information to both technical and non-technical audiences.
- Familiarity with credit risk strategy and/or the payments industry is advantageous.
We support our employees and their families with benefits and programs designed to enhance their overall well-being. This includes prioritizing their physical, financial, and mental health throughout all stages of life. Benefits encompass:
- Competitive base salaries and bonus incentives.
- Support for financial well-being and retirement planning.
- Comprehensive medical, dental, vision, life insurance, and disability benefits (subject to location).
- Flexible working arrangements, including hybrid, onsite, or virtual options based on role and business requirements.
- Generous paid parental leave policies (based on location).
- Access to global onsite wellness centers staffed with medical professionals (based on location).
- Confidential counseling support through our Healthy Minds program.
- Opportunities for career development and training.
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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