About American Express

American Express Recruitment

Job Role: Analyst-Data Science

Qualification: Bachelors / Masters Degree

Experience: Fresher

Batch: 2025 / 2024 / 2023 / 2022

Salary: up to ₹15 LPA

Job Location: Bengaluru , Gurugram

Last Date: ASAP

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Business Overview:

Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry the lowest credit loss rates. It applies an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and bring innovation.

 A single decision can have many outcomes. And when that decision affects millions of cardmembers and merchants, it needs to be the right one. That’s where AiDa Product team comes in who is part of the Credit & Fraud Risk (CFR) Global Data Science (GDS) CoE. The product specializes in powering a seamless unified experience for its AI / ML users and responsibly leverage enterprise data assets to support critical decisions for the company.

As a part of this team, you’ll have the opportunity to work in one of the best talent of product owners and managers in the industry. You will solve real world business problems while getting exposure to the industry’s top leaders in AI / ML product management, decision science and technology. If you are passionate in getting to know all areas of our business and can translate business needs into remarkable solutions that can impact millions, you should consider a career in Product teams.

Job Responsibilities:

• Contribute to defining and articulation of long-term AI product strategy and roadmap with clearly defined business metrics and outcomes.
• Solve complicated business problems by prioritization & ownership of products and solutions to meet business objectives.
• Prioritize and manage product backlogs, by balancing the requirements of partners and stakeholders. Evaluate prospective features in AI Products pipeline against changing requirements in the direction of AI adoptions.
• Contribute to all product lifecycle processes including market (external) research, competitive analysis, planning, positioning, roadmap development, requirements finalization and product development.
• Translate product roadmap into well defined requirements and acceptance test criteria.
• Drive end-to-end ML / AI product developments with a team of engineers and designers. Transform MVPs to production grade capabilities in collaboration with engineering teams
• Contribute to ideation and launch of innovative ML/AI products and capabilities. Innovate ways to evangelize product to drive Amex wide user adoption
• (For Learn): Curate and Deliver technical trainings in AI, Cloud, Hive and Spark for beginners to advance level users
• Create POCs for best in class AI-ML innovative products with the potential to scale

Qualifications:

• Strong quantitative, analytical, and structured problem-solving skills.
• Strong technical background in AI / ML with background on python, SQL, data analytics and data visualization
• Familiarity with ML model development lifecycle (MDLC): feature selection and engineering, different ML model algorithm families – Decision Trees, Boosting algorithms, optimizations considerations for ML models, deployment and serving challenges
• Knowledge of Google Cloud Platform (GCP), Big Query, GCP AI / ML capabilities such as Vertex AI.
• Knowledge of Big Data Platforms such as Hadoop and PySpark.
• Knowledge of designing and building big data tools and frameworks
• Demonstrate creativity and self-sufficiency along with strong interpersonal/ collaborative skills and experience working in global teams
• Understanding of the various ML Model deployment systems and processes with a basic knowledge of various model regulatory and governance policies.
• Ability to prioritize well, communicate clearly and compellingly and understand how to drive a high level of focus and excellence with a strong, talented opinionated engineering, UX and QA teams
• Knowledge of Notebook based IDE for performing AI / ML tasks such as Jupyter and Airflow.
• Familiarity with product management tools such as Rally, JIRA, and Confluence
• Excellent verbal and written communications skills
• Undergraduate/Master’s in Computer Science / Information Technology / Mathematics from institutes of global repute.