American Express

Analyst-Control Management (Data Analytics -Python and SQL)

Posted On

Aug. 4, 2025

Location

Gurgaon, Haryana

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

Aug. 31, 2025

Job 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 with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role?

Job Role & Responsibilities:

Lead the development of KRI needed for transforming the control testing and monitoring environment in Global Commercial Services (GCS) through automating risk identification via big data and Machine Learning (ML).
Analyse, develop, and generate actionable information from complex and disparate datasets. Apply both quantitative methods and business knowledge to build insights necessary to support stronger control environment.
Utilize AI and ML tools to develop (analyze, code, test, deploy) automated control/testing and monitoring features.
Develop automated data analytics features in big data / data lakes environment.
Working closely with Business and Product stakeholders to drive End-to-End KRI build from identification to go-live
Monitor appropriateness of the case closure management process for the alerts generated by the KRIs.
Perform analytics/modelling and develop proof-of-concept solutions using big data tools/assets.
Utilize and participate in maintenance/upkeep of agile team tools and processes using Airtable, Github and Confluence.
Quickly learn, adapt and support to new tools (e.g. Programming Languages, Software Packages), processes and business functionalities.

Minimum Qualifications

2+ Years experience in Risk Management, Data Analytics, or similar role
Degree or equivalent experience in Computer Science or similar fields with data analytics/computing
Strong analytical skills, with demonstrated ability to analyze, develop and present information from complex and disparate datasets using. Experience in applying both quantitative methods and business knowledge to build actionable insight
Technical expertise with extensive hands-on coding experience in data analytics using Lumi, SQL, Python, Big Data Hive. Knowledge of additional analytics programming languages is a plus
Excellent communication and technical writing skills. Ability to put together visualizations with varying level of detail
Experience in visualization tools such as Tableau, Power BI or similar.
Knowledgeable in agile software development concepts and tools such as Airtable, Confluence, Github.
Demonstrated ability and keenness to quickly adapt and learn new concepts including programming languages, tools, business processes.

Preferred Qualifications

Experience in Financial Services industry, Process Risk Self-Assessment, Risk Management with focus on risk monitoring and control automation is preferred

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training 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 employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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