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 an MBA, or master’s Degree In Machine Learning, Computer Science, Statistics, Or Related Fields From a tier Institute. if you are interested, please apply as soon as possible.
Company Name: American Express
Role: Analyst – Data Science
Location: Gurugram
Experience: 0-3 years
Qualification: MBA, master’s Degree In Machine Learning, Computer Science, Statistics, Or Related Fields From Top Tier Institute
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 Gen AI (Large Language 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:
- 0-3 years experience in Large Language Models or big data workstreams
- MBA, masters Degree In Machine Learning, Computer Science, 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, 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.
- 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
Responsibility:
- Conduct independent oversight of enterprise-wide models with a focus on Gen AI (Large Language Models) 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 AI/ML 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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