JPMorgan Data Domain Architect Assoc - Conversation Analysis Annotation 

India, Karnataka, Bengaluru 

404796457

As a Data Domain Architect Associate within the Consumer & Community Banking team, you will conduct data annotation to evaluate and train machine learning models. You will apply your technical knowledge and problem-solving skills across multiple applications, supporting data quality and summarization to enable Operations Management to achieve strategic objectives while ensuring compliance with all controls, policies, and procedures.

Job responsibilities

• Annotate banking domain text data for machine learning models using various data labeling tools and guidelines.
• Analyze structured and unstructured text data, identify labels through context and disambiguation, and annotate with the correct label.
• Understand the nuances of language used in the financial industry and stay updated with the business aspects of products.
• Validate business results from a model perspective and provide feedback for model improvement.
• Conduct retrospective data analyses and contribute to clarifying business definitions and concepts.
• Provide feedback and suggestions for tool improvements to enhance efficiency and accuracy.
• Work closely with stakeholders, including machine learning engineers, data scientists, data engineers, and product managers across Chase's lines of businesses.

Required qualifications, capabilities, and skills

• Bachelor's or Master's degree in Statistics, Engineering, Computer Science, Information Technology, Finance, or a related field.
• Three years of hands-on experience working with data as a data analyst, data annotator, or data architect.
• Basic understanding of AI/ML with expertise in text data labeling processes and quality control.
• Analytical and problem-solving skills, along with good project management skills (self-driven, well-organized, ability to meet tight deadlines).
• Experience using at least one annotation tool.
• Intermediate experience with Microsoft Office suite.

Preferred qualifications, capabilities, and skills

• Understanding of LLM and Gen AI concepts.
• Excellent verbal and written communication skills to clearly present analytical findings and business recommendations to global stakeholders.
• Familiarity or experience with Data Analytics and Visualization.