Associate - Machine Learning Data Annotation

As a member of the Machine Learning team at JPMorgan Chase, you will have the opportunity to work on cutting-edge machine learning projects that optimize business decisions using the company's unique data assets. Your role will involve collecting, annotating, and enriching data for machine learning models across various lines of business within the company. You will be responsible for providing data annotation services for different data types including text, chats, emails, and audio. Understanding the business use-case will be crucial as you own the data annotation pipeline, ensuring the raw data is transformed into reliable, annotated ground truth for sophisticated machine learning methods used in banking applications such as risk assessment, trading models, customer relationship management, and pricing models. Your responsibilities will include working on data labeling tools, collaborating with stakeholders from different departments, understanding and defining relationships among entities, transcribing audio recordings, developing workflows and guidelines for data annotation, and becoming a subject matter expert in the field. To excel in this role, you should hold a Masters in Business Management (MBA) with a finance specialization, possess 5-7 years of experience in data collection, analysis, or research, and have a strong understanding of model scoring parameters and data annotation techniques. Additionally, you should be able to work both independently and as part of a team, have a keen interest in data analytics techniques, and be familiar with industry-standard annotation methods and AI paradigms. If you are someone who is detail-oriented, motivated by complex analytical problems, and eager to contribute to the advancement of machine learning applications in the financial industry, this role offers a unique opportunity to showcase your skills and expertise while collaborating with a world-class machine learning team at JPMorgan Chase.,