American Express is seeking fresh graduates with a master’s degree in a quantitative field or an MBA to join their team as Analysts in Data Science at their Gurgaon location. This position is ideal for individuals at the beginning of their careers, offering an opportunity to apply their academic expertise in a practical and impactful setting. As a Data Science Analyst, new hires will engage in various data analysis and modeling tasks, contributing to data-driven decision-making processes.
Company Name: American Express
Job Role: Analyst-Data Science
Education Required: Master’s degree in quantitative field or MBA
Experience Required: Freshers
Job Location: Gurgaon
Role and Responsibilities:
- 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.
Required Skills and Qualifications:
- 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
- Understanding of finance and valuation concepts.
