Apprentice at American Express Company South Africa

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Warehousing, SDLC, RPA, ETL Tools, Machine Learning, Power BI, Tableau, Regulatory Reporting, Data Quality Checks, MS-Office, Communication Skills, Agility, Product Owners Support, Data Architects Support, System Architecture

Industry

Financial Services

Description

At American Express, our culture is built on a 175-year history of innovation, shared values and leadership behaviors, and an unwavering commitment to back our customers, communities and colleagues. As part of Team Amex, you’ll experience this powerful backing: Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Career development and training opportunities Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Join Team Amex and let's lead the way together. The Regulatory Automation and Capabilities Modernization trainee apprentice will be responsible for supporting Product Owners and Data Architects for the finance modernization and reporting automation goals within the organization. The role will involve structured training, collaboration and opportunity to experience the dynamic world of Amex Finance and Regulatory Reporting every day. Key responsibilities Support Product Owners and Data Architects in regulatory reporting automation design and implementation phases. Analyze large datasets to identify trends, anomalies, and potential issues related to regulatory reporting. Create and maintain comprehensive documentation for automated reporting processes, including system configurations, data mapping, and validation rules. Demonstrates ability to understand system architecture and interlinkages Identify opportunities to optimize and enhance existing reporting processes and workflows through automation Collaborate with other Finance teams/functions in gathering relevant and reliable information to meet the requirements of the role Support data quality checks on documents, ensuring they are complete and follow templates. Qualification, Skills and Experience Requirements Graduates (Computer Science/Information Technology or Finance workstream) with(out) maximum of 11 months of experience preferred Hands-on experience on SQL and familiarity with Data Warehousing concepts. Familiarity with Software Development Lifecycle (SDLC), automation tools/techniques (RPA, ETL tools, Machine Learning etc.), data visualization tools (Power BI, Tableau etc.) will be preferred. Knowledge of banking products and regulatory reporting exposure will be preferred. Working knowledge of MS-Office (Excel, PowerPoint, Word) Excellent verbal and written communication skills Exhibits positive attitude, agility and willingness to learn and develop We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Cab facility Free meals Flexible working model with hybrid arrangement Training and development opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of contractual employment as an Apprentice with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Apprentices will be required to abide by Blue Box values and always maintain Code of Conduct.

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Responsibilities

The apprentice will support Product Owners and Data Architects in the design and implementation phases of regulatory reporting automation. Key tasks include analyzing large datasets for trends and anomalies, and creating comprehensive documentation for automated reporting processes.