Data Annotator

Working at Chase means making a real difference every day for your customers, your community and
yourself. How? By putting others first, doing what’s right and creating solutions that make lives better.
Build your career on our strong foundation and help shape what’s next−for 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 use your business expertise and your knowledge of JPMC products to partner closely with teams in Data Science, Analytics and Engineering to develop machine learning solutions. This will involve the collection, curation, annotation, enrichment and validation of data and the development of taxonomies and other linguistic resources to help train machine learning models, drive insight, analysis, and possible content creation.

Job responsibilities

• Use subject matter expertise to contribute to team and stakeholder understanding of real world interactions, particularly within Wealth Management domain.
• Conduct research to assist with the team’s application of business definitions and concepts.
•  Annotate and label data/content using annotation tools.
• Implement and improve annotation procedures to achieve consistent data labeling.
• Report and document issues with annotation tools and processes.
• Provide feedback for efficient labeling and to improve data quality.
• Conduct analysis of annotation edge cases.
• Contribute to the development of taxonomies and annotation guidelines.
• Use machine learning tools to identify patterns and trends in customer service call data 
•  Contribute to the team’s continuous learning mindset by bringing in new ideas and perspectives that stretch the thinking of the group.

Required qualifications, capabilities, and skills

• Experience with investment products and/or customer service within the financial services industry
• Bachelor’s 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.
• Interest in machine learning and willingness to develop new skills in this area.

Preferred qualifications, capabilities, and skills

• Experience in Wealth Management
• Familiarity with industry annotation and labeling methods.
• Working knowledge of information and data retrieval.
• Previous experience in data annotation, data labeling, and/or quality assurance.