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.
Job Description :-
| Company: | American Express |
| Job Role: | Analyst-Data Science |
| Batches: | 2021-2026 |
| Degree: | Bachelor’s/Master’s Degree/MBA |
| Experience: | 0-2.5years |
| Location: | Bangalore/Gurugram, India |
| CTC/Salary: | INR 5-14 LPA (Expected) |
Responsibilities
- 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 & machine learning solution
- 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.
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 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 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, Algorithm, High Performance Computing
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