American Express is hiring for the role of Risk - Analyst - Data Science!
American Express is hiring experienced for the role of Analyst - Data Science!.
The details of the job, requirements and other information is given below:
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American Express : Analyst - Data Science!
Eligibility:
· Qualification: MBA, Master’s Degree In Machine Learning, Computer Science, Statistics Or Related Fields From Top Tier Institute
0-3 years experience in analytics, modeling, data science, model risk management or relevant fields.
Functional Skills/Capabilities:
- Hands-on model development or validation experience.
- Strong Analytical and Relationship and project management skills for driving validation initiatives.
- Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.
- Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment. • Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution.
- Effectively communicating complex Analytical results to Business Partners and Senior Management.
- Flexibility and Adaptability to Work Within tight deadlines and changing priorities.
Technical Skills/Capabilities:
Experience with at least one of the data manipulation tools such as Python, R, JAVA, is a must have. Gen AI/ Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms.
Behavioral Skills/Capabilities:
Enterprise Leadership Behaviors
• Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
• Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
• Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage.
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