Want Job Alerts? Join UsAmerican Express Off Campus Freshers Hiring As Analyst Details:
About Company:
American Express Company is an American multinational financial services corporation that specializes in payment cards. Headquartered in New York City, it is one of the most valuable companies in the world and one of the 30 components of the Dow Jones Industrial Average.
Company Name: American Express
Job Profile: Analyst – Data Science
Work Location: Gurgaon, Haryana, India
Salary: Not Disclosed
Job ID: 23009770
How will you make an impact in this role?
Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models.
Purpose of the Role:
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.
The specific responsibilities include:
- 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/MLresearch to explore opportunities to elevate model excellence and drive business impact
- Communicating results to partners, senior leadership and various model committees
Critical Factors to Success:
1. Business Outcomes:
- 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
- Leadership Outcomes:
- 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
Past Experience:
- 0-3 years experience in Large Language Models or big data workstreams
Academic Background:
MBA, Master’s Degree In Machine Learning, Computer Science, Statistics Or Related Fields From Top Tier Institute
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.
Behavioural 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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