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Sr.Analyst-Data Science

American Express · Bengaluru, Karnataka

# Sr.Analyst-Data Science **American Express** · Bengaluru, Karnataka · `On-site` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Indeed* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Python]` `[ML]` `[AI]` --- ### About the Role Compromise Decision Science Team of American Express is looking for an Senior Analyst who would be actively involved in developing, refining and implementing ML models for Compromise Fraud Risk Decision Sciences domain. Compromise Decision sciences team is involved in developing solutions for preventing fraud arising from compromised card credentials. This involves developing sophisticated ML models, feature engineering, graph based solutions to curb fraud losses arising from cards that were compromised across the customer journey. - Graduate or postgraduate degree in Statistics, Mathematics, Economics, Engineering, Management, Computer Science, or a related quantitative discipline from a recognized institution. - 2–3 years of relevant experience in data science, advanced analytics, machine learning, or predictive modeling. - Strong programming skills in Python and PySpark, with hands-on experience in data manipulation, statistical analysis, and machine learning model development. - Solid understanding of machine learning and deep learning techniques, with exposure to Graph Neural Networks, graph-based algorithms, Transformer architectures, or related advanced AI methodologies. - Familiarity with deep learning frameworks such as PyTorch or TensorFlow and cloud computing environments such as Google Cloud Platform. - Experience working with large-scale datasets, feature engineering, data preprocessing, and model evaluation techniques. - Strong problem-solving skills, analytical rigor, and the ability to translate complex business requirements into effective technical solutions. - Excellent written and verbal communication skills, with the ability to present analytical insights and recommendations to diverse stakeholders. Demonstrated ability to exercise sound judgment, work collaboratively, and deliver high-quality analytical solutions in a dynamic business environment. - - Shift Timings : Mon - Wed 1:00 PM -9:30 PM ; Thurs 11:00 AM- 7:30 PM ; Friday - 8:30 AM -5 PM At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: - Competitive base salaries - Bonus incentives - Support for financial-well-being and retirement - Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) - Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need - Generous paid parental leave policies (depending on your location) - Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) - Free and confidential counseling support through our Healthy Minds program - Career development and training opportunities Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Наблюдалась 2026-10-15, впервые 2026-10-15, источник — Indeed.

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