American Express Hiring Drive 2024: American Express Hiring Drive 2024 for its Senior Analyst- Data Analytics. American Express Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Degree in a quantitative area (e.g. Finance, Statistics, Economics, Mathematics, and Engineering) degree preferred. if you are interested, please apply as soon as possible.
Company Name: American Express
Role: Senior Analyst- Data Analytics
Location: Gurgaon
Experience: 2 years
Qualification: A degree in a quantitative area (e.g. Finance, Statistics, Economics, Mathematics, and Engineering) is preferred.
Batch: Any
Job Type: Full Time
Salary: 5.7 to 12.5 LPA (Expected)
American Express Hiring Drive 2024
Job Description:
- This role is a part of Financial Crime Risk Data Integrity team which is responsible for transformation of strategies to fight financial crime.
- We leverage data analytics to drive future state Anti-Money Laundering (AML) solutions.
Requirements:
- A degree in a quantitative area (e.g. Finance, Statistics, Economics, Mathematics and Engineering) is preferred.
- Past Experience: Minimum of 2 years of relevant work experience
- Technical and Function Skills/Capabilities:
- Proactive thinking and strong analytical skills
- Strong ability to solve unstructured problems through data
- Strong process mindset and ability to collaborate
- Excellent critical thinking and attention to detail
- Exceptional drive and commitment; ability to work and thrive in in fast changing, results driven environment; and proven ability in handling competing priorities
- Proactive learner with the ability to quickly learn new concepts and techniques with minimal supervision
- Solid experience with analytical (SQL, Hive, Python, R) tools is expected
- Strong verbal and written communication skills, with the ability to translate between various technical and non-technical audiences
- Knowledge of credit risk strategy and/or payments industry is a plus
Responsibility:
- Perform analytics to support multiple workstreams within FCR (Financial Crime Risk) in a dynamic regulatory environment (using SQL/Python)
- Work with large volumes of structured and unstructured data to drive meaningful insights
- Monitor KYC/KYB health of Cardmembers and Legal Entity portfolios by creating dashboards (Tableau/Sisense)
- Define and build robust data driven strategies to optimize AML risk and enhance customer experience
- Partner with multiple teams (Compliance, Tech, PMO) to define AML risk strategies and understand the regulatory framework for the respective markets
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