American Express, a renowned financial services company, is currently seeking talented individuals for the position of Analyst in Data Analytics. The ideal candidate for this role should possess a degree in a quantitative area, such as Finance, Statistics, Economics, Mathematics, or Engineering. American Express is open to freshers who are eager to embark on a career in data analytics. The job opportunities are available in both Gurgaon and Bengaluru, offering candidates the flexibility to choose their preferred work location.
Company Name: American Express
Job Role: Analyst-Data Analytics
Education Required: Degree in a quantitative area (e.g. Finance, Statistics, Economics, Mathematics and Engineering) is preferred.
Experience Required: Freshers
Job Location: Gurgaon, Bengaluru
Role and Responsibilities:
- 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.
Required Skills and Qualification:
- Degree in a quantitative area (e.g. Finance, Statistics, Economics, Mathematics and Engineering) is preferred.
- 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.
