Data and Analytics Data Annotation

Working at Chase means making a real difference every day for your customers your community and
yourself. How By putting others first doing whats right and creating solutions that make lives better.
Build your career on our strong foundation and help shape whats nextfor you and for us. Chase a
leading provider of diverse financial services worldwide is actively seeking service-center team
members to create lifelong engaged relationships with our customers by delivering superior service and
quality with every customer interaction

As a Data Domain Architect Analyst within Consumer and Community Banking you will leverage your business expertise and knowledge of JPMorgan Chase products to collaborate effectively with Data Science Analytics and Engineering teams. You will be responsible for developing and enhancing machine learning solutions by gathering curating annotating enriching and validating data. Additionally you will create taxonomies and other resources to train machine learning models extract insights conduct analysis and potentially generate content.

Job Responsibilities:

• Label and annotate call center transcripts and other datasets to support the development of machine learning models.
• Review and validate the outputs of AI and ML models ensuring accuracy as well as alignment with business goals and compliance standards.
• Leverage GenAI tools to conduct deep dives into call datasets to uncover opportunities to improve customer experience.
• Provide expert guidance to stakeholders on leveraging ML/AI discovery tools for actionable insights.
• Draft and refine taxonomies and classification schemas to enhance data organization and model training.
• Identify and escalate anomalies errors or unexpected model behaviors acting as a critical checkpoint in our AI workflow.
• Work closely with data scientists engineers and business stakeholders to continuously improve annotation processes and model performance.

Required qualifications capabilities and skills:

• Experience with banking products and/or customer service within the financial services industry
• Bachelors degree in business or comparable discipline; or equivalent level demonstrated in relevant work experience.
• Excellent analytical and problem-solving skills and the ability to pay close attention to detail
• Experience in working with and analyzing large real-world datasets.
• Ability to interpret and apply business context to technical tasks.
• Interest in machine learning and willingness to develop new skills in this area.

Preferred qualifications capabilities and skills

• Prior experience with data annotation conversational analysis taxonomy development machine learning projects and/or quality assurance
• Familiarity with industry annotation and labeling methods.
• Working knowledge of information and data retrieval.