Senior Analyst-Data Science
Fraud, CBO and Payments 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 Payments Risk Decision Sciences domain.
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.
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