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 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: Master’s degree in economics, Statistics, or Related Fields
Batch: Any
Job Type: Full Time
Salary: 6.0 To 25.5 LPA (Expected)
American Express Hiring Drive 2024
Job Description:
- Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models.
- The successful candidate will be responsible to manage and controls model risk, specifically associated to the regulatory models like CCAR, CECL, IFRS9, Economic Capital and Membership Reward.
- 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
- masters 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, Py Spark etc is a must have
- Data Science/Traditional Modeling, 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 a variety of statistical and mathematical models developed and used in Finance, Treasury and Risk – Economic Capital models, IFRS9, CECL, and CCAR Stress Test models,
- 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
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
- 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 the existing models
- 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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