Manager-Compliance

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 role is responsible for managing and performing the day-to-day analytics and generate insights on multiple compliance engagements. Th role would provide support to Director of the organization in

• Establishing a strong analytics/AI/ML based operating model for compliance function.

• Conducting planning meetings with key business owners and Line of Business Compliance partners to identify in-scope regulations, risks, and controls to define various critical analytics programs and initiatives.

• Responsible for planning and oversight of the day-to-day execution and documentation of the analytics deliverables.

• Updating Compliance Management on the progress of the analytics engagements and escalating any significant issues as appropriate

• Ensuring that compliance gaps as identified through analytics driven approaches should be well documented along with output data sets stored appropriately for future reference

• Continuously enhance the data landscape of the compliance organization in various testing and reporting scenarios and ensure data quality and timeliness is maintained.

• Continuously learn, discover, develop, govern, deploy AI/ML/NLP models across different business scenario to drive efficiency and process enhancements.

• Design and implement advanced generative models using LLMs.

• Self-driven individual who can take ownership and create software on an end-to-end basis

• Conduct research and stay up-to-date with the latest advancements in generative AI and LLMs

• Develop and maintain code libraries, tools, and frameworks to support generative AI development

• Participate in code reviews and help maintain high code quality standards

• Participate in the full software development lifecycle, from design to testing to deployment and maintenance.

  Critical Factor To Success:

• Possess strong interpersonal, leadership and change management skills, as well as strong presentation and communication skills (written and verbal)
• Be self-motivated, dependable, adaptable and detail oriented with a proven ability to work independently or within a team environment as required
• Have a demonstrated ability to think conceptually, using strong analytical skills
• Be able to explore and deduce comprehension of new unfamiliar datasets
• Possess a strong understanding of bank systems and processes; strong computer knowledge; excellent MS Word, Excel, Visio and PowerPoint skills
• Strong knowledge of machine learning algorithms and techniques, particularly in the areas of generative models, natural language processing, and computer vision
• Familiarity with cloud computing and distributed systems, particularly AWS or Google Cloud
• Experience working with large datasets and data processing pipelines.
• Excellent communication skills and the ability to work effectively in a team environment

• 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.