American Express hiring Data Science Analyst
Company: American Express
Qualifications: MBA, Master’s Degree in Economics, Statistics, or related fields
Experience Needed: 0-4 years
Location: Gurgaon
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Purpose of the Role:
We are looking for a motivated Data Science Analyst to join our team. The successful candidate will be responsible for managing and controlling model risk, specifically related to the next generation of Artificial Intelligence (AI) and Machine Learning (ML) models. This role is crucial in enhancing model excellence, bolstering long-term shareholder value, and adapting to innovations in model development and regulatory expectations.
Responsibilities:
- Model Oversight: Independently oversee enterprise-wide models with a focus on AI and ML for various domains, including marketing, credit, and fraud.
- Gap Assessments: Conduct thorough gap assessments and establish a robust framework to enhance model risk controls and meet regulatory standards.
- Research and Innovation: Explore opportunities to improve model excellence and drive business impact through innovative research.
- Communication: Effectively communicate results to partners, senior leadership, and various model committees.
Key Success Factors:
- Business Outcomes:
- Challenge the conceptual soundness and purpose of predictive models.
- Maximize business returns by implementing efficient and accurate models.
- Innovate in modeling techniques and variable creation.
- Ensure the accuracy and efficiency of modeling processes using ML.
- Leadership Outcomes:
- Prioritize enterprise goals and balance the needs of customers, partners, colleagues, and shareholders.
- Lead with an external perspective, challenge the status quo, and drive continuous innovation.
- Exhibit learning agility, make swift decisions with integrity.
- Embrace a digital mindset and deliver exceptional customer experiences.
Eligibility:
- Educational Qualifications:
- MBA, Master’s Degree in Economics, Statistics, or related fields from a top-tier institute.
- Experience:
- 0-4 years of experience in analytics or big data workstreams.
- Skills:
- Hands-on experience in model development or validation.
- Strong analytical, relationship, and project management skills.
- Proficiency in advanced statistical or quantitative techniques.
- Excellent verbal, written, and interpersonal communication skills.
- Ability to work effectively in a team and collaborate with cross-functional teams.
- Experience in communicating complex analytical results to business partners and senior management.
- Adaptability to work within tight deadlines and changing priorities.
- Technical Proficiencies:
- Proficiency in data manipulation tools such as R, Java, SQL, and SAS.
- Expertise in Data Science, Machine Learning, and AI, including supervised and unsupervised techniques, neural models, decision trees, reinforcement learning, graphical models, Bayesian models, Random Forest, Gradient Boosting, Deep Learning, and Text Mining Algorithms.
- Knowledge of coding and advanced analytical techniques.
Conclusion:
Join American Express as a Data Science Analyst and become a key player in managing and innovating AI and ML models that drive our business forward. This role offers an exciting opportunity to work on cutting-edge technology, collaborate with diverse teams, and contribute to significant business outcomes. With American Express, you will have the platform to grow, innovate, and excel in your career.
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