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Analyst - KYC Analytics at AMERICAN EXPRESS — Gurgaon

Experience0–4 yrs
SalaryNot disclosed
Work modeonsite
Posted24 Sept 2026

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About AMERICAN EXPRESS

AMERICAN EXPRESS is hiring in Gurgaon in financial services. This role looks for around 0+ years of experience.

Skills

Google BigQuery
SQL
Python
PySpark
Tableau
financial crime analytics
risk mitigation
data governance

The role

A data analyst at a financial services company develops financial crime analytics using SQL, Python, and PySpark, and applies risk mitigation and data governance to merchant ecosystems. The role also uses Tableau and GenAI to automate scalable analytical frameworks and support data-driven decisions.

Full job description

The GMNS Analytics team is seeking an Analyst to support the Financial Crime Data Analytics, Global Marketing Execution & Analytics function. This role will partner closely with stakeholders across GMS Product and Governance, Risk & Regulation and Operations team to enable leadership decision-making by designing scalable, global analytical frameworks that address complex regulatory and business challenges. The Analyst will deliver high-quality analysis and insights to drive long term data product strategy, operational efficiency, and risk and compliance effectiveness across the global merchant ecosystem. Success in this role requires a strong external perspective, analytical rigor, and the ability to translate open-ended problems into actionable insights that support innovation and sustainable growth. The role will also contribute to modernization initiatives, leveraging automation, scalable data solutions, and emerging capabilities such as GenAI.

Qualifications:

0-4 years of relevant experience in analytical domain.

Intellectual curiosity, attention to detail ability to learn quickly and drive results.

Ability to drive insights from data, manage multiple projects and drive results in a fast-paced environment.

Strong collaboration skills with ability to build relationships and challenge the status quo.

Excellent business writing and presentation skills with the ability to communicate effectively, build relationships and influence at all levels.

Technical Skills: Familiarity with Google Big Query, SQL, Python, Lumi, PySpark and Tableau.

Experience in risk operations, or merchant business preferred.

Experience in Machine Learning/ Cloud / Gen AI is a plus.

Academic Background:

Bachelors in Statistics / Mathematics / Economics / Engineering/Data Science with relevant experience.

Post Graduation in Statistics/Mathematics/ Economics / Engineering / Management is a plus.

Responsibilities:

Develop and apply analytical frameworks to address business problems focused on financial crime and risk mitigation, using a consultative mindset.

Analyze large, complex datasets to identify trends, measure performance, and translate findings into actionable insights that inform business 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 the automation and scaling of data creation and reporting processes to improve efficiency, accuracy, and speed to market.

Explore and apply advanced analytics techniques and tools, including GenAI, and leverage secondary research to enhance insight generation.

Support adherence to enterprise data governance standards, ensuring data integrity, consistency, and responsible analytics practices.

Provide analytical support for strategic initiatives and ad-hoc projects aligned with GMNS priorities.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.