American Express Recruitment 2024 for Analyst-Data Analytics, American Express Drive is organizing Off Campus Drive for candidates in Any Batch. In order to apply, candidates should have degree in Bachelors/Masters Degree. If you are interested, Please apply as soon as possible.
Company Name: American Express
Role: Analyst-Data Analytics
Location: Gurgaon/bangalore
Experience: Freshers
Qualification: Bachelors/Masters Degree
Batch: Any Batch
Job Type: Full Time
Salary: Best in Industry
American Express Recruitment 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:
Degree in a quantitative area (e.g. Finance, Statistics, Economics, Mathematics and Engineering) is preferred.
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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