Analyst - KYC Analytics

American Express
Gurugram
Workplace: HybridFull timeFunction: Data Analytics & Business Intelligence0Education: bachelorsSkills: ["Analytical rigor","Intellectual curiosity","Collaboration","Business writing","Presentation skills"]

Support the Financial Crime Data Analytics and Global Marketing Execution & Analytics function by designing scalable analytical frameworks for complex regulatory and business challenges. Partner with Product, Governance, Risk & Regulation, and Operations stakeholders to deliver high-quality analysis, actionable insights, and data-product strategy across the global merchant ecosystem. Modernize analytics using automation, scalable data solutions, and emerging capabilities such as GenAI to improve risk and compliance effectiveness and operational efficiency.

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FursaFursa
American Express
American Express
1 day ago

Analyst - KYC Analytics

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Source: Company careers pageValidated by: Fursa AI
Last checked: 29 minutes agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Support the Financial Crime Data Analytics and Global Marketing Execution & Analytics function by designing scalable analytical frameworks for complex regulatory and business challenges. Partner with Product, Governance, Risk & Regulation, and Operations stakeholders to deliver high-quality analysis, actionable insights, and data-product strategy across the global merchant ecosystem. Modernize analytics using automation, scalable data solutions, and emerging capabilities such as GenAI to improve risk and compliance effectiveness and operational efficiency.
Location: Gurugram
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Entry level

Key Responsibilities

  • •Develop and apply analytical frameworks to solve financial crime and risk mitigation business problems.
  • •Analyze large, complex datasets to identify trends, measure performance, and deliver actionable insights for risk and control strategy.
  • •Partner with business, product, and analytics teams to share learnings and enable data-driven decision-making across markets and functions.
  • •Contribute to automation and scaling of data creation and reporting to improve efficiency, accuracy, and speed to market.
  • •Explore advanced analytics techniques and tools (including GenAI), and support adherence to enterprise data governance standards.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceParental LeaveRetirementHybrid Work

Key Requirements

  • •0-4 years of relevant experience in an analytical domain.
  • •Drive insights from data while managing multiple projects in a fast-paced environment.
  • •Strong collaboration skills, ability to build relationships, and challenge the status quo.
  • •Strong business writing and presentation skills to communicate effectively and influence at all levels.
  • •Technical skills with Google BigQuery, SQL, Python, Lumi, PySpark, and Tableau; experience in risk operations or merchant business preferred.
Experience:0Risk operationsMerchant business
Education:Bachelor's in Statistics/Mathematics/Economics/Engineering/Data Science
Skills:Analytical rigorIntellectual curiosityCollaborationBusiness writingPresentation skills
Tech Stack:Google BigQuerySQLPythonLumiPySparkTableauGenAI

Company Brief

American Express
Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York City, United States
Founded: 1850
WebsiteLinkedIn