Bloomberg

A Senior Data Management Professional is a key role within our organization responsible for optimizing our data for clients and improving our data operations.. As our tooling continues to evolve, we will trust that you will be able to take ownership of our client escalation workflows and provide data driven solutions to help reveal optimal product strategy to key stakeholders.. Bachelor's degree or equivalent experience in Computational Linguistics, Computer Science, Quantitative Finance, or a related Technical field or background. 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 maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others.

data engineering

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. A Senior Data Management Professional is a key role within our organization responsible for optimizing our data for clients and improving our data operations. They act as technical leaders setting the strategy for data products, developing interconnected data models, crafting data architectures, ensuring data quality, and using various techniques, including programming and statistical methods, to extract valuable insights from data. They are expected to be problem solvers, effective communicators, and versatile at balancing technical expertise with a product-focused approach. Role: In this role you will be diving deep into complex annotation outputs - requiring you to understand the data requirements, specifying the modeling needs of datasets, using existing techstack for efficient data ingestion workflows, and data pipelining. You will implement technical solutions using programming, machine learning, AI, and human-in-the-loop approaches to make sure our annotation data is fit-for-purpose for our AI Engineering teams. Some additional responsibilities will include database management and quality assurance of the annotation data that our team relies on. This includes the creation, maintenance, and enhancement of new and existing ETL pipelines to align with evolving annotation efforts. To ensure that our data is fit for purpose, you will be an integral part in shaping our data quality strategy. In doing so, you will provide insights from our data through visualization tools. Examples of these insights include, quality and performance metrics, tag distribution analysis, project completion status, and sampling analysis. You will also develop a working relationship with our Engineering teams, where you will serve as a liaison between us to define the data quality vision and strategy for our suite of products. As our tooling continues to evolve, we will trust that you will be able to take ownership of our client escalation workflows and provide data driven solutions to help reveal optimal product strategy to key stakeholders. We'll trust you to: <ul><li> Develop data-driven strategies, balancing the best of technical, product, financial and industry knowledge, and work with our Engineering and Product departments to craft solutions</li><li> Develop data quality strategies for our annotated datasets and implement scalable, lasting solutions</li><li> Develop interconnected data models that enable analysis across datasets and develop statistical analysis </li></ul>You'll need to have: <ul><li> Bachelor's degree or equivalent experience in Computational Linguistics, Computer Science, Quantitative Finance, or a related Technical field or background </li><li> 4+ years of programming experience in a development or production environment</li><li> Proficiency using scripting languages (preferably Python) to query and interrogate datasets</li><li> A solid grasp of data modeling principles and technologies such as data modeling, advanced statistical analysis, data ingestion, data enrichment, and data integration</li><li> Experience profiling new datasets, and implementing high volume, low-latency ETL pipelines</li><li> Understanding of quality assurance and quality control from a data and product perspective</li><li> Good interpersonal skills across various stakeholders (Engineering, Data Analysts, Product Managers, and Senior Management)</li><li> Proven track record of effective project management and a customer focused mentality </li></ul>We'd love to see: <ul><li> Experience with semantic analysis, annotation schemas, edge cases, and guidelines development</li><li> Experience working with human-in-the-loop workflows</li><li> Previous work, internship and/or academic experience in Data Analysis, Financial Market Research and/or Information Technology</li><li> A passion and curiosity about financial and economic data with the aspiration to work in the financial/fintech services industry</li><li> Experience implementing high volume, low-latency ETL pipelines</li><li> A passion for data and a demonstrated drive to set and uphold standard methodologies for data quality as a domain of data management </li></ul>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. 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 maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for. Salary Range: 110,000 - 170,000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

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