American Express Hiring Drive 2024: American Express Hiring Drive 2024 for its Analyst-Data Science. American Express Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor of Science / Technology / Engineering, Master’s Degree In Economics, Statistics, Or Related Fields. if you are interested, please apply as soon as possible.
Company Name: American Express
Role: Analyst-Data Science
Location: Gurgaon
Experience: 0-2 years
Qualification: Bachelor of Science / Technology / Engineering, Master’s Degree In Economics, Statistics Or Related Fields
Batch: Any
Job Type: Full Time
Salary: Best in Industry
American Express Hiring Drive 2024
Job Description:
- The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Artificial Intelligence or Machine Learning based models.
- This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.
Requirements:
- 0-2 years experience in analytics or big data workstreams
- Bachelor of Science / Technology / Engineering, Master’s Degree In Economics, Statistics Or Related Fields From Top Tier Institute
- 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.
- Experience with at-least one of the data manipulation tools such as Python, SQL & R is a must have.
- Data Science/ 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
Responsibility:
- Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for marketing, credit, fraud or other business/ risk types.
- Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards
- Conduct research to explore opportunities to elevate model excellence and drive business impact
- Communicating results to partners, senior leadership and various model committees
- Effectively challenge the conceptual soundness , theory and approach, purpose/usages of predictive models
- Maximize business returns by institutionalizing efficient and accurate models.
- Innovate modeling techniques and variable creation
- Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning
- Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
- Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
- Demonstrate learning agility, make decisions quickly and with the highest level of integrity
- Lead with a digital mindset and deliver the world’s best customer experiences every day
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