Analyst-Data Science

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.

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.

Qualifications

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