AE
Full time
🤖 AI / ML
Senior Analyst-Data Science at American Express
Listed by DevShelfHub
Gurugram, Haryana, India (Hybrid)
Hybrid
Senior · 24–48 yrs
About the Role
Credit and fraud risk analytics powers every financial decision at American Express—and the CFR Analytics & Data Science CoE team is at the center of it. American Express is hiring a Senior Analyst-Data Science in Gurugram to develop, deploy, and validate predictive models that enable profitable decisions across risk, fraud, and marketing.
This hybrid role offers exposure to industry-leading analytics leaders and the opportunity to solve real-world business problems at global scale.
What you'll do
- The Senior Analyst-Data Science will develop predictive models and supporting economic logic for profitable business decisions.
- Understand the core business of AXP and the levers behind various decisions
- Analyze 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 and 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
- Development, deployment and validation of predictive model(s) and supporting use of models in economic logic
What we're looking for
- MBA, Master's degree in Economics, Statistics, Computer Science, or related fields
- 24-48 months of experience in analytics, big data workstreams
- Ability to work effectively in a team environment
- Ability to drive project deliverables to achieve business results
Skills & Technologies
Required
MBA, Master's degree in Economics, Statistics, Computer Science, or related fields
24-48 months of experience in analytics, big data workstreams
Ability to work effectively in a team environment
Ability to drive project deliverables to achieve business results
Strong communication and interpersonal skills
Innovative problem solver with ability to learn quickly and work independently
Ability to integrate with cross-functional business partners worldwide
SAS, R, Python, Hive, Spark, SQL
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role offers the chance to work on high-impact predictive models in one of the best companies for data scientists in India.
- Develop, deploy, and validate predictive models for risk, fraud, and marketing decisions
- Analyze large amounts of data to derive business insights and create innovative solutions
- Leverage the power of closed-loop Amex network for intelligent, relevant decisions
- Innovate with big data and machine learning solutions
- Articulate and structure business findings for leadership and key partners
- Work with industry-top leaders in analytics, data science, and machine learning
- Solve real-world business problems with measurable impact
- Apply supervised and unsupervised techniques including neural models, reinforcement learning, and graphical models
- Integrate with cross-functional business partners worldwide
- Comprehensive benefits including competitive salaries, bonus incentives, and hybrid working
About American Express
The Credit and Fraud Risk (CFR) team at American Express helps drive profitable business growth by reducing fraud risk and maintaining industry-lowest credit loss rates. The CFR Analytics & Data Science CoE team leverages data and digital advancements to improve risk management, enable commerce, and drive innovation. From targeting the right customers to underwriting and managing customer experience, every decision is advised by groundbreaking analytics and data science.
- Industry
- Technology
- Company Size
- 500+
- Website
- americanexpress.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 24–48 years
- Location
- Gurugram, Haryana, India (Hybrid)
- Work Mode
- Hybrid
- Category
- AI / ML
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