Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We optimize the value of our data by combining our domain and technical expertise to make our data fit-for-purpose, timely and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to better handle our data.
The Role:
As a Senior Data Annotation Analyst on our Dialogue Labeling and Annotation Management team (DLAM), you will be responsible for project coordination, prioritization, mentorship, coaching, and execution of strategic business objectives. Your key partners will be our AI Community Engineering teams and our Core Product team within Community. You will be the foundation of the DLAM team and will help support the development of machine learning models and AI technology, such as, AI assistance with security detection, transcription of voice data, classification, and more. We’ll trust you to become a product owner and understand the downstream usage of our data and use that knowledge to advise potential annotation changes. As a data annotation specialist, you will also be responsible for annotation efforts by in house contract workers. You will develop deep domain expertise in text annotation of financial instruments and will perform quality evaluation of annotation results produced by yourself and contract workers. This role will require you to collaborate across data teams as your team will serve as a resource for outside teams that require expertise and training in annotation management. Doing so will require critical thinking and collaboration across Data, Product, and Engineering teams.
You’ll need to have:
Bachelor's degree in Finance, Economics, Linguistics. or relevant degree/equivalent experience
4+ years of data management experience, for example improving data quality, accuracy, efficiency, or timeliness
Demonstrated project, work experience, or coursework that shows your interest and knowledge in the financial markets or human in the loop workflows
Demonstrated interest or experience with data analysis
Excellent written, communication, and presentation skills
Strong organizational skills with the ability to balance multiple projects simultaneously
A high-level proficiency with business intelligence/data visualization tools, preferably QlikSense
Strong desire to structure and systemize processes, and motivation to push both existing and new workflows in that direction
Ability to work in the US without visa sponsorship now or in the future
We’d love to see:
Experience working with annotation schemas, edge cases, guideline development and maintenance, and semantic analysis
Experience transforming workflows into a more timely and efficient process
Experience working with human in the loop workflows
Experience using native language skills to capture various forms of linguistic utterances with high accuracy
Experience with one or more of the following asset classes: Fixed Income, Equities, and Foreign Exchange products
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Salary: 85000,105000,USD,Annual
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net
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