Join Our Team as a Data Domain Architect Analyst - Data Annotation at JPMorgan Chase

The Machine Learning team at JPMorgan Chase leverages cutting-edge techniques and unique data assets to enhance business decisions. As a Data Domain Architect Analyst - Data Annotation, you'll be an integral part of our world-class team, focusing on the collection, annotation, and enrichment of data for machine learning models. This role presents exceptional opportunities across all lines of business.

Role Overview

In this dynamic role, you will collaborate extensively with stakeholders, understand business objectives, and work on various data-related tasks such as identification, annotation, and validation. This is a unique opportunity to apply your skills in a cutting-edge environment.

Key Responsibilities

• Utilize data labeling tools to annotate data for machine learning models.
• Engage with stakeholders including machine learning engineers, data scientists, and product managers across JPMorgan Chase's lines of business, such as Investment Banking, Commercial Banking, and Asset Management.
• Navigate engagements from understanding business objectives to data identification, annotation, and validation.
• Interpret the nuances of financial industry language for accurate data annotation.
• Define and understand relationships among data entities.
• Validate model results and provide business-centric feedback for improvements.
• Communicate complex data annotation concepts clearly to both technical and business audiences.
• Adapt to changing guidelines, priorities, and environments.
• Transcribe audio recordings and identify relevant keywords and sentiments.
• Develop documentation and guidelines for data annotation conventions.
• Create workflows, processes, and KPIs to measure annotation performance and quality.
• Serve as a subject matter expert to create and structure new annotations and labels.
• Collaborate with ML engineering teams to optimize annotation workflows.
• Increase productivity with machine learning algorithms, LLMs, and programmatic scripts.
• Enhance labeling workflows and ensure quality and consistency in annotations.
• Participate in strategic programs to improve annotation deliverables.
• Identify and implement opportunities for scalable solutions and process improvements.
• Understand complex data interactions and their business impacts.

Required Qualifications and Skills

• Proficiency in programming languages such as Python and Unix.
• Strong academic background in machine learning, data science, data analytics, computer science, or related fields.
• 5+ years of hands-on experience in data science, data analytics, or research with leadership experience.
• Ability to work both independently and collaboratively in team settings.
• Curiosity, hardworking nature, attention to detail, and a keen interest in solving complex analytical problems.

Preferred Qualifications and Skills

• Experience in data extraction from financial documents.
• Expertise in data annotation, labeling, entity disambiguation, and data enrichment.
• Familiarity with standard annotation and labeling methods.
• Experience with voice translation services and tools.
• Knowledge of machine learning and AI paradigms such as text classification, entity recognition, and information retrieval.

JPMorgan Chase & Co., with a rich history spanning over 200 years, is a leader in financial services offering innovative solutions to millions of consumers and leading corporations worldwide. We value the diversity of our global workforce, recognizing that our collective talents drive our success. As an equal opportunity employer, we prioritize diversity and inclusion, ensuring we do not discriminate based on any protected attribute.

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Join us at JPMorgan Chase & Co., and be a part of a team that's shaping the future of finance.

Job Title: Data Domain Architect Analyst - Data Annotation

Company: JPMorgan Chase & Co.