Analyst-Data Science

Role Overview

Minimum Qualifications

• Graduate or postgraduate degree in Statistics, Mathematics, Economics, Engineering, Management, or a related field.
• At least 2 years of relevant CFR experience with analytical or modeling skills.
• Proficiency in data analysis and programming languages such as Python, Hive, and PySpark.
• Strong coding skills and hands-on experience with advanced machine learning, deep learning, and AI algorithms.
• Familiarity with cloud computing platforms such as Google Cloud for model training.
• Experience handling large datasets and implementing data preprocessing techniques.

Professional Capabilities

• Translate business problems into technical solutions and explain complex technical concepts to non-technical stakeholders.
• Provide insight and accurate judgment when addressing business challenges and opportunities.
• Demonstrate excellent communication and presentation skills.

Preferred Qualifications

• Knowledge of American Express platforms is preferred.
• Experience building and deploying models is preferred.
• Experience working with agents and associated risks is preferred.

Employment Benefits

• Benefits may include competitive base salary, bonus incentives, health coverage, retirement support, flexible working arrangements, parental leave, wellness resources, counseling, and career development.
• Working arrangements may be hybrid, onsite, or virtual depending on the role and business need.

Responsibilities

• Develop, refine, and implement machine learning models for fraud risk decision science.
• Apply advanced machine learning, deep learning, and AI algorithms to fraud, payments, and agentic risk problems.
• Analyze and preprocess large datasets for modeling and risk decision applications.
• Use Python, Hive, and PySpark for data analysis and model development.
• Use cloud computing platforms such as Google Cloud for model training.
• Translate business problems into technical solutions.
• Explain complex technical concepts to non-technical stakeholders.
• Provide insight and accurate judgment in addressing business challenges and opportunities.
• Build and deploy models.
• Support analysis of agents and associated risks.