Business Analyst-Data Annotator

1 week ago


Bengaluru, India JPMorgan Chase & Co. Full time
Join our collaborative environment, where you'll contribute to our strategy and make an impact on product success. Grow your skills, participate in product planning, and define user workflows while working alongside experienced product managers. Don't miss this opportunity to be part of a dynamic team and promote innovation in customer experiences.As a Business Analyst (Data Annotator) in the Digital Assistant team, you will impact customer experience by developing annotated datasets for machine learning models, collaborating with stakeholders on data analysis, contributing to model improvements and delivering set goals for the team.Job responsibilitiesAnnotate banking domain text data for machine learning models using various data labeling tools and guidelinesAnalyze different types of structured and unstructured text data, identify the labels through context and disambiguation and annotate with the correct labelUnderstand the nuances of language used in the financial industry and be updated with the business aspect of productsValidate business results from model perspective and proactively provide feedback for model improvementConduct retrospective data analyses and contribute to bringing clarity to business definitions and conceptsWork closely with stakeholders including machine learning engineers, data scientists, data engineers and product managers across Chase's lines of businessesCommunicate data annotation concepts, processes and model results to both technical and business audiencesAdapt to changes in guidelines, priorities and environmentsResponsible for high quality and timely completion of deliverablesRequired qualifications, capabilities, and skillsBachelors or Masters in Statistics, Engineering, Computer Science, Information Technology, Finance, Computational Linguistics or related fields3+ years hands-on experience working with data, as an data analyst, data annotator or data architectMust exhibit a basic understanding of AI/ML with expertise in text data labelling processes and quality controlAnalytical and problem solving skills as well as good project management skills (self-driven, well-organized, ability for tight deadline deliverables)Excellent verbal and written communication skills to clearly present analytical findings and business recommendations to global stakeholdersPreferred qualifications, capabilities, and skills

Understanding of LLM and Gen AI conceptsFamiliarity or experience with Data Analytics and Visualization

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