As part of the Data Management Lab (DML) department, we're responsible for supporting the development, enablement, and implementation of data management best practices that enable the delivery of "ready-to-use" data. );
Guide fellow ontologists' work to align with accepted practices, standards, objectives, key results, and strategic initiatives;
Stay abreast of emerging trends and advancements in ontology engineering, knowledge representation, and semantic technologies;
Contribute to the development of peer-reviewed papers, conference presentations, panels, standards boards, and other external industry participation opportunities;
Provide mentorship and guidance to junior ontologists, and contribute to their professional development;
Continually strive to represent knowledge faithfully while adjusting for bias and accounting for multiple diverging perspectives;
Balance timeliness with quality under tight deadlines, managing multiple priorities and partners;
Demonstrate end-to-end relevance to stakeholder needs, from gathering competency questions to finding traction with integrations. 5+ years of experience in developing and managing ontologies and/or knowledge graphs for real-world applications*;
Proficiency in ontology languages and standards such as OWL, RDF, SKOS, and SHACL;
Strong knowledge of ontology and taxonomy development tools (e. git);
Understanding of large-scale, distributed, end-to-end systems;
Exposure to the Bloomberg Terminal and/or Enterprise data products;
Solid understanding of software development life cycle (SDLC) methodologies and project management best practices;
Understanding of Data Governance and Data Management, supported by industry certifications (e. We'll get in touch to let you know what the next steps are.
Exchange Market Data Representative - Any European Language Location London Business Area Accounting and Finance Ref # 10037769 Description & Requirements The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for. )
Work with the Accounting Department to resolve Exchange invoicing issues
Provide dedicated support and relationship management for major firms/internal sales teams
Mitigate risk for Bloomberg and our Customers by providing stewardship on Exchanges related processes and implementing policy guidelines
Manage projects (which may vary from internal system enhancement testing to new Exchange Product implementation/policy change). 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.
You will guide your teams to think strategically, apply data management best practices to their data sets, and to deliver quality data that is ready to use and fit for purpose. We'll get in touch to let you know what the next steps are!
Bloomberg's Enterprise Data department develops data offerings that are considered best in class by the financial markets community. As hands-on liaison between Bloomberg product development teams and the data science teams at our customers, the Data Scientist will provide expert technical design, data science thought leadership, and Bloomberg recommended standard methodologies as customers develop solutions on premises or in the public cloud. The ideal candidate will be a customer focused data scientist with advanced technology skills that seeks opportunities to get their hands dirty while confidently working with clients to design and build solutions that will best demonstrate Bloomberg content and technology in conjunction with modern data science tools and workflows. Knowledge of other commonly used languages for data analysis is a plus
- Experience with applying data science / quantitative / time series modeling to real world, financial use cases commonly deployed at financial market firms
- Knowledge of leading open source data analysis tools and machine learning libraries
- Experience in crafting technical documentation and presentations (white-board, small team, broad audience) and the ability to present to a technical and non-technical audience. in a quantitative discipline
- Knowledge of AWS, GCP, and/or Azure data science and machine learning services
- Experience with tools and frameworks enabling large scale data analysis (e.
The Data Products Operations Manager will support the Data Products and VCA (Visa Consulting & Analytics) teams across Europe by providing advice on company policy and Data Products practices, executing activities and maintaining processes that allow the business to run effectively and efficiently, analyze project data to produce performance reports and suggesting and implementing process improvements. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
We combine data and context to paint the whole picture for our clients, around the clock - from around the world. The asset financing data is aggregated to create BloombergNEF flagship products like the Renewable Energy Investment Tracker and Energy Transition Investment Trends as well as monthly, quarterly, and annual league table reports published by the Data team. You will engage with clients to understand their business needs and partner with Engineering and Product teams to propose, develop, and implement solutions for our clients. Engage with market participants and internal product partners to identify and ensure all client needs and trends are accounted for within our product design. The ability to think creatively and provide out of the box solutions with an eagerness to learn and collaborate. Knowledge of statistical analysis, or programming and applied data analysis skills, with proficiency using R, Python or similar coding languages. We'll get in touch to let you know what the next steps are!
We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients. By using technology, domain expertise, and relationships with Issuers we aim to be the best data and analytics platform in the market. You will set the team's technical strategy to complement the strategy for the domain and deliver high quality data using good programming, project management and leadership skills. We'll get in touch to let you know what the next steps are.
This is an interesting time in finance, with more data available, more computing power combined with ESG that is adding a new fresh dimension to the investment process; all of this combined with new advanced techniques becoming accessible and familiar to a new generation of investor have created exciting market challenges to capitalize on. Research and Data Science Sales Specialist Representatives will be responsible for the sales and retention of our Research dataset and ESG & sustainability data set suite of offerings. We'll get in touch to let you know what the next steps are.
We combine data and context to paint the whole picture for our clients, around the clock - from around the world. Your role is key in ensuring consistency of standards and collaborating with others to oversee the delivery of accurate and timely events data and transcript product whilst continually seeking new ways to operate more efficiently. Lead the team to partner with global counterparts, other data teams, and core business groups, including Product, News, Bloomberg Intelligence and Engineering to help develop and improve fit-for-purpose data that powers our products, including functionality across the product set. , ETL, predictive models)
Understanding and curiosity towards model AI/ML approaches and human-in-the-loop components of model development lifecycle (annotation, evaluation, monitoring)
Document/text processing tools: regex and a suite of Python libraries to extract information from html, pdf
Varied project management experience and/or certifications (CAPM, PMP and/or CSM)
Experience using data visualization tools such as Tableau or QlikSense
Understanding of Data Governance and Data Management Principle (ie. We'll get in touch to let you know what the next steps are!
PIC is seeking a Business Analyst with strong data governance experience to help the business understand, manage, and use data effectively to pay the pensions of our current and future policyholders. Define and embed new data quality rules to proactively monitor and control data at key points in the customer and policy data lineage, refining existing rules as needed. Ability to analyse large volumes of data, understand business and technology processes, and read code to identify the root causes of data issues quickly and accurately. Strong Business Analysis skills; able to work with stakeholders to define data-related requirements from business problems to support the automation and simplification of data processing.