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 the quantitative field or an MBA with analytics experience. if you are interested, please apply as soon as possible.
Company Name: American Express
Role: Analyst – Data Science
Location: Gurugram
Experience: 1 – 4 years
Qualification: Master’s degree in quantitative field or MBA with analytics experience
Batch: Any
Job Type: Full Time
Salary: 6.0 To 25.0 LPA (Expected)
American Express Hiring Drive 2024
Job Description:
- The successful candidate will be responsible to manage and controls model risk, specifically associated with Finance, Treasury, Anti-Money Laundering, Climate Risk 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:
- 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 CodingSupervised 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
Understanding of finance and valuation concepts.
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, Anti-Money Laundering, Climate Risk and Membership Rewards.
- 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
- 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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