American Express is hiring candidates for the role of Analyst – Risk Management & Data Science for the Bengaluru & Gurugram locations. The complete details about American Express Recruitment Program 2026 are as follows.
Company Name:- American Express
Required Education: Bachelor’s degree / Master’s degree
Required Skills:
Python, SQL, Hive, PySpark
Advanced Statistical Techniques
Job Category: Data Science / Risk Management
Work Location Options: Hybrid
Job Position: Analyst – Risk Management & Data Science
Job Location: Bengaluru & Gurugram
Salary Package: As per Company Standards
Full/Part Time: Full Time
Education Level: Graduation
Qualifications
Academic Background:
Bachelor’s in Statistics / Mathematics / Economics / Engineering with relevant experience
Preferred: Post Graduation in Management / Statistics / Mathematics / Economics / Engineering
Technical Skills / Capabilities:
- Python, SQL, Hive, PySpark
- Advanced Statistical Techniques
- Advanced Excel
- Enterprise Leadership Behaviors
- Proficiency in Excel, VBA, SQL/Python and Tableau / Power BI
- Strong experience in creating decks and presenting findings effectively
- Excellent communication skills in English (written & verbal both)
- Payments or financial services industry experience is highly desirable
Past Experience:
1–3 years of relevant experience in data analytics, reporting, or data governance–related roles.
Preferred: Experience supporting data governance, reporting, or analytics initiatives within risk domains such as credit and fraud risk, Financial crimes risk and GRC.
Key Responsibilities:
Establish and strengthen data governance frameworks by designing analytical controls to identify, monitor, and mitigate Financial Crimes risk.
Integrate and govern internal and external data sources to create reliable insights and monitoring controls for Financial Crimes prevention.
Contribute to analytical projects focused on risk reduction, data governance, and the delivery of accurate, timely, and robust reporting.
Assist in maintaining data quality, consistency, and documentation to support governed data usage.
Partner with global stakeholders across multiple business units to drive alignment on data definitions, controls, ownership, and reporting practices.
Design, build, and maintain dashboards and visual reports to monitor Financial Crimes risk, key metrics, and control effectiveness.
Skills Required
Minimum Qualifications:
MBA, master’s degree in Economics, Statistics, Computer Science or related fields
0–30 months of experience in analytics, big data workstreams
Ability to drive project deliverables to achieve business results
Ability to work effectively in a team environment
Strong communication and interpersonal skills
Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
Ability to integrate with cross-functional business partners worldwide
SAS, R, Python, Hive, Spark, SQL
Unsupervised and supervised techniques – active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering
Preferred Qualifications
Expertise in Coding, Algorithms, High Performance Computing
Description on the Role
Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.
Responsibilities:
Understand the core business of AXP and the levers behind various decisions
Analyse large amounts of data to derive business insights and create innovative solutions
Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
Maintain external lens and be aware of developments in the field of Finance / Payments / Analytics etc.
Apply Link:- Click Here To Apply (Apply before the link expires)
Note:- Only shortlisted candidates will receive the call letter for further rounds
Instagram - @nammajobverse
WhatsApp - https://whatsapp.com/channel/0029Vb7jpAZFi8xfC2641q44
Telegram - https://t.me/nammajobverse
0 Comments