3 weeks ago

Apprentice

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Join a 12-month paid apprenticeship in Credit & Fraud Risk, supporting business growth and risk management decisions across the customer lifecycle. Partner with cross-functional teams through the product lifecycle, helping with testing, implementation, and performance monitoring. Contribute to analytics and reporting by working with SQL, Python, Excel, Power BI, and Tableau, and build exposure to data governance and data quality practices.

Location: Gurugram

Workplace: Hybrid

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Intern level

Key Responsibilities

•Gain exposure to how Credit & Fraud Risk teams support business growth, customer experience, and risk management decisions.
•Partner with cross-functional teams to support product enhancements, business initiatives, and innovation opportunities.
•Participate across the product lifecycle, including discovery, testing, implementation, and performance monitoring.
•Support analytical and reporting activities to identify trends, patterns, and business insights.
•Work with data and visualization tools such as SQL, Python, Excel, Power BI, and Tableau, and learn data governance and data quality practices.

Pay and Benefits

Perks:Meal AllowanceCab Facility

Key Requirements

•Strong analytical and problem-solving skills.
•Passion for data, analytics, and risk management.
•Ability to interpret data and derive meaningful insights.
•Knowledge of SQL, Python, Excel, and Power BI/Tableau is preferred.
•Completed graduation in a Bachelor’s or Master’s program in quantitative fields (e.g., Engineering, Mathematics, Statistics, Computer Science, Data Science, Business Analytics, Finance).

Education:Bachelor's in Engineering/Mathematics/Statistics/Economics/Computer Science/Data Science/Business Analytics/Finance or other relevant quantitative disciplines

Skills:Analytical thinkingProblem-solvingCollaborationCuriosityData interpretation

Tech Stack:SQLPythonExcelPower BITableauSDLCRPAETLMachine LearningData visualizationData governance

Company Brief

American Express

Industry: Payments

Website

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American Express

3 weeks ago

Apprentice

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Gurugram

Workplace: Hybrid

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Intern level

Key Responsibilities

•Gain exposure to how Credit & Fraud Risk teams support business growth, customer experience, and risk management decisions.
•Partner with cross-functional teams to support product enhancements, business initiatives, and innovation opportunities.
•Participate across the product lifecycle, including discovery, testing, implementation, and performance monitoring.
•Support analytical and reporting activities to identify trends, patterns, and business insights.
•Work with data and visualization tools such as SQL, Python, Excel, Power BI, and Tableau, and learn data governance and data quality practices.

Pay and Benefits

Perks:Meal AllowanceCab Facility

Key Requirements

•Strong analytical and problem-solving skills.
•Passion for data, analytics, and risk management.
•Ability to interpret data and derive meaningful insights.
•Knowledge of SQL, Python, Excel, and Power BI/Tableau is preferred.
•Completed graduation in a Bachelor’s or Master’s program in quantitative fields (e.g., Engineering, Mathematics, Statistics, Computer Science, Data Science, Business Analytics, Finance).

Education:Bachelor's in Engineering/Mathematics/Statistics/Economics/Computer Science/Data Science/Business Analytics/Finance or other relevant quantitative disciplines

Skills:Analytical thinkingProblem-solvingCollaborationCuriosityData interpretation

Tech Stack:SQLPythonExcelPower BITableauSDLCRPAETLMachine LearningData visualizationData governance

Company Brief

American Express

Industry: Payments

Website