American Express—Senior Analyst-Data Science

Job description

Description: Fraud, CBO, Payments and Agentic Risk Decision Science Team of American Express is looking for a tenured Analyst or Sr. Analyst who would be actively involved in developing, refining and implementing ML models for Fraud Risk Decision Sciences domain. Requirements: Minimum Qualifications - Graduate/Post Graduate Degree in Statistics/Mathematics/Economics/ Engineering/Management from a reputed institute. - 2+ years relevant CFR experience in Analytical/Modelling Skills - Proficiency in data analysis and programming languages such as Python, Hive, PySpark. - Strong coding skills and hand-on experience with advanced Machine Learning, Deep Learning, AI algorithms - Familiarity with cloud computing platforms like Google Cloud for model training. - Experience in handling large datasets and implementing data preprocessing techniques - Excellent communication and presentation skills, with the ability to translate business problems into technical solutions and explain complex technical concepts to non-technical stakeholders. - Demonstrated ability to provide insight and accurate judgment in addressing and resolving business challenges and opportunities Preferred Qualifications - Knowledge of Amex platforms is preferred - Experience in building and deploying models - Experience in working with Agents and associated risks Responsibilities: Responsible for: - Leverage advanced ML techniques to innovate for the next generation of models and drive business growth - Conduct case reviews to generate insights for improving the model performance and decision-making processes - Collaborate with relevant stakeholders to ensure alignment of analytical and modeling efforts with business objectives, effectively managing stakeholder expectations and communication throughout the project lifecycle - Bring in ideas by incorporating external perspectives through reading research papers and identify appropriate use cases to enhance model development and innovation.