Description

About the Role American Express is seeking a highly motivated and analytical Analyst – Data Science to join its advanced analytics team. The selected candidate will focus on managing and controlling model risk, particularly related to next-generation Artificial Intelligence (AI) and Machine Learning (ML) models. This role plays a key part in ensuring model excellence, regulatory compliance, and driving business impact through advanced analytics. Key Responsibilities Conduct independent oversight and validation of enterprise-wide AI/ML-based models across marketing, credit, fraud, and risk domains. Perform gap assessments to strengthen model risk controls and meet evolving regulatory standards. Research and implement cutting-edge AI/ML methodologies to enhance model quality and drive business performance. Present analytical findings and recommendations to business partners, senior management, and model committees. Collaborate cross-functionally to integrate analytical insights into strategic decision-making. Critical Success Factors Business Outcomes: Drive business growth and profitability through data-driven insights and predictive modeling. Enhance efficiency, accuracy, and innovation in model development processes. Apply advanced ML and statistical techniques to solve complex business problems. Leadership Outcomes: Exhibit enterprise-wide thinking and a strong understanding of customer, partner, and shareholder priorities. Demonstrate agility, integrity, and innovation in a fast-paced, digital-first environment. Lead and collaborate effectively across teams while maintaining a strong results orientation. Qualifications Education: MBA or Master’s Degree in Economics, Statistics, Mathematics, or related fields from a reputed institution. Experience: 0 – 2 years of experience in Analytics, Big Data, or Data Science domains. Technical Skills Hands-on experience in at least one programming language: Python, R, SQL, or SAS. Strong understanding of machine learning, predictive modeling, and statistical analysis. Ability to handle large datasets and apply quantitative techniques effectively. Functional Skills Strong analytical, problem-solving, and project management abilities. Excellent verbal and written communication skills. Ability to work cross-functionally and deliver within tight deadlines. Capable of simplifying and presenting complex analytical results to non-technical stakeholders. Behavioral Competencies Strategic thinker with a collaborative and proactive mindset. Committed to ethical decision-making and continuous learning. Agile and adaptable to changing priorities and business needs. Employee Benefits Competitive base salary and performance bonuses. Comprehensive health coverage (medical, dental, vision, life insurance). Flexible work model (hybrid, onsite, or virtual based on role). Paid parental leave and retirement support programs. Access to wellness centers and confidential counseling. Continuous career development and global training opportunities. Key Skills Python · SQL · SAS · Machine Learning · Risk Management · Predictive Modeling · Statistical Analysis · Analytics · Business Intelligence · Career Development

Role and Responsibilities

• Key Responsibilities Conduct independent oversight and validation of enterprise-wide AI/ML-based models across marketing, credit, fraud, and risk domains. Perform gap assessments to strengthen model risk controls and meet evolving regulatory standards. Research and implement cutting-edge AI/ML methodologies to enhance model quality and drive business performance. Present analytical findings and recommendations to business partners, senior management, and model committees. Collaborate cross-functionally to integrate analytical insights into strategic decision-making.