About this role
This position is within the International Compliance team, which performs 2nd line of defense across American Express products and portfolio segments. International Compliance assess compliance with laws, regulations, and policy impacting diverse American Express products and services. This role will be responsible for Provide technical and analytical support for Project Fusion, including UAT, data analysis, tracking, & reporting and requires a balance of compliance risk management with analytics skills.
- The qualified individual will have:
- 6-8 years of industry experience with 4 years of experience in applied machine learning, data science, and big data technologies.
- Experience in developing AI/ML analytics applications like OTA, predictive maintenance, recommendation systems
- Relevant practical experience with selected AI tech stacks, tool chains, data collection, synthetic data and simulators (e.g. PyTorch, Kafka, Apache Spark, Python, Java)
- Experience with MLOps and cloud machine-learning platforms like SageMaker, DataBricks
- Working knowledge of the laws, rules and regulations governing American Express businesses.
- Proven ability to effectively lead others.
- Strong analytical skills and ability to identify potential compliance issues, potential root causes, and feasible operational solutions.
- Strong collaborative skills and ability to work in a matrix environment and on cross-functional teams.
- Experience in production-grade ML workflows
- Excellent verbal and written communications skills. Must be able to effectively communicate with all levels within the organization.
- Ability to translate technical information into easily understandable terms.
- Be self-motivated, dependable, adaptable and detail oriented with a proven ability to work independently or within a team environment as required.
- Strong presentation and project management skills.
- Prior experience in using SQL, Hive / HQL, Python, Jupyter notebooks, Spark a variety of databases, and comfort and ease in accurately manipulating large datasets
- Familiarity with High Density File Systems (Big Data) such as Hadoop, and the tools required to import, export, and work with big data environments
- Experience with Teradata and UNIX is desired. Knowledge of IBM mainframe is desired but not required
- Proficiency with statistical methods and analysis
- American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.
- Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.