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Companies are the backbone of the stock and bond markets. Bloomberg Intelligence ("BI") conducts in-depth research on large and midsize companies to help stock and bond investors effectively evaluate those companies. We analyse the unique attributes of each business, how it competes against other companies in its industry and how the business strategies and successes translate into financial results. Our analysts also research the technology, regulation, litigation and economies that will shape the environment for these companies and the related industry impact. BI research is a combination of written analysis accompanied by interactive charting and analytics created from company reported data as well as industry and government data. Analysts review, check and curate this data into comprehensive and logically arranged dashboards to support their own research and to provide Bloomberg Terminal users a platform to view and analyse the data as well. Our Credit Research team provides unique insights and tools to help clients frame fundamentals and relative value of corporate bonds and CDS. What's the role: Covering an array of investment grade and high yield issuers in the Basic Materials/Metals sector You will be responsible for providing credit research coverage You will provide frequent research on both thematic and timely event driven analysis You will spend your day providing our clients with in-depth research and relative value thoughts on the key issuers and themes within these sectors. In addition, investor outreach, including webinars, calls and presentations will also be an important part of your day-to-day role You'll need to have: Significant buy-or-sell side credit research experience Extraordinary primary research and writing skills Knowledge of the Bloomberg Terminal Marketing or business development experience Excellent oral communication and presentation skills An entrepreneurial mind-set A passion for collaboration Strong organization skills and capable of handling multiple projects Knowledge of advanced concepts, practices, and procedures of finance and accounting Apply if you think we're a good match. We'll get in touch to let you know that the next steps are, but in the meantime feel free to have a look at: https://company/careers/working-here/news-and-research/?tactic-page588594 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 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 (mailto:) (Americas), (mailto:) (Europe, the Middle East and Africa), or (mailto:) (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact or .uk (mailto:.uk)
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 apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients. Our Team: Our Securities Credit Data teams are responsible for the timely and accurate entry of new bonds and loans being brought to market, secondary market review and updates, as well as extensive client facing support. In addition, responsibilities include developing new data pipelines, implementing data validations, reviewing processes for efficiencies, finding opportunities to expand data sets. Our Private Credit team work closely with internal partners including the Engineering, Core Product, News and Enterprise. We are committed to delivering best-in-class quality and improving and expanding our Private Credit offerings through a deep understanding of market dynamics alongside our clients' current and future needs. What's the role? As a Data Engineer for Private Credit, you will use your domain expertise to handle and improve the financial data that feeds Bloomberg products, identify innovative workflow efficiencies, implement technical solutions to enhance our systems, products and processes, and establish links with key players in the financial market. You will be responsible for the data management of publicly filed Private Credit data by BDCs (Business Development Companies) as well as creating pipelines from additional sources, establishing and implementing our automation, data alignment and data quality strategies. You will ensure the best use of our existing Private Credit data as well as leading the technical implementation of on-boarding new datasets. You will use your experience to define what a fit-for-purpose data product looks like. You will work to plan and deliver the data modeling and technology strategy and roadmap which should align to the overall product vision. We'll trust you to: Develop data-driven strategies, balancing the best of technical, product, financial and dataset knowledge, and work with our engineering and product departments to craft solutions Be responsible for the end-to-end data ingestion of Ownership datasets including long positions and short position holdings data, transactional data, and derived datasets such as the free float field Analyze internal processes to find opportunities for improvement, as well as implement innovative solutions Communicate and collaborate across team members and complementary teams including Engineering, Product, Enterprise Data, and News Design data models to create data storage solutions for our raw and enriched data and contribute to our data alignment strategy by following the FAIR data principles Develop data quality strategies for the Ownership datasets and implement scalable, lasting solutions Use data visualization skills to report on results of ongoing operations and projects, as required You'll need to have: Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. 3 years of programming experience in a development and/or production environment Proficiency using scripting languages to build pre-processing services that can be integrated in our data pipelines A proven grasp of data modeling principles and technologies to perform requirements analysis as well as conceptual, logical, and physical modeling Experience profiling new datasets, and implementing high volume, low-latency ETL pipelines Understanding of data quality standard methodologies to improve the value of the dataset Proven track record of effective project management and a customer focused mentality We'd like to see: Advanced degree/Master's degree or equivalent experience in a Finance or STEM subject and/or CFA designation (or working towards it) Familiarity with use cases of sophisticated statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing Experience designing optimal database structures Experience working in an Agile development team 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! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 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 (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact or .uk
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 the purposes of our clients' use cases. We apply analytics and modern data management techniques to identify innovative workflows and technology solutions to improve the management of our data. Our Team: Our Listed Derivatives data team provides our clients with complete and accurate, normalized security listings and reference data for 25 million active and 700 million historical securities across more than 100 derivatives exchanges globally. We develop automated data pipelines for the ingestion and publication of derivatives data, enhance our coverage and accuracy, and explore opportunities to expand our data product offering. With trading volumes rising continuously and contract structures growing in complexity, we rely on data management expertise, multi-functional collaboration, deep domain knowledge, and thoughtful automation to continuously deliver high quality data to our growing client base. What's the Role? As the Data Product Owner, you'll help us improve and grow our offering of Listed Derivatives data. Using your deep market knowledge and understanding of our technical platforms, you'll play a key role in designing and implementing strategies to enable efficient discoverability of derivatives products and fields as well as to facilitate seamless interoperability of our data with other Bloomberg data sets. You will be a thought leader for quality enhancements in our reference data and work closely with various partners and stakeholders to integrate our solution into the wider architecture. You will join a distributed team of dedicated individuals and experts where your interests and passion will have a significant impact on our team's success. We trust you to: Develop and drive a strategy for Bloomberg derivatives data quality across markets and asset classes Liaise and collaborate with other stakeholders and downstream consumers where there are dependencies on derivatives data Contribute to the design and execution of data modeling strategies to enable discoverability of derivatives products and fields as well as seamless interoperability across data sets Contribute to the design and the implementation of strict quality control processes to ensure the most complete, timely, and accurate data offering by applying you market knowledge and understanding of client use cases Identify and close gaps in existing product offerings and expand to account for emerging client' use cases Communicate and contribute to the prioritization of business needs that guide the future direction of derivatives data Train and mentor other team members You'll need to have: Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. 4 years of recent work experience in the financial services industry, focusing on the Listed Derivatives markets Strong understanding of market players data needs and the strategic landscape within the Listed Derivatives market Demonstrated experience in data management, for example in improving data accuracy, completeness or timeliness A proven track record of successful project management skills and ability to prioritize tasks accordingly Comfort with a high degree of autonomy and shown ability in handling priorities from multiple internal and external partners Demonstrable ability to take an analytical, data driven approach and apply critical thinking skills in order to tackle problems Ability to optimally communicate and present concepts and methodologies to diverse audiences We'd Love to See: Knowledge of SQL/Python querying language Experience in semantic structures or data modeling Experience using data visualization tools such as Tableau, QlikSense or Splunk Does this sound like you? Apply! If we believe that you're a good match, we'll get in touch to let you know the next steps. Bloomberg is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of age, ancestry, colour, 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 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 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 (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact or .uk
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 apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Our Team The Entity team is responsible for timely creation and maintenance of core entity data, assignment of risk allocation and corporate hierarchy research for over 7million public and private companies. In addition, responsibilities include new data pipelines, validation of data and reviewing processes for efficiencies. The team works directly with other groups within Data, Technology, Product and Enterprise. What's the role? As a Senior Data Engineer for the Entities team, you will use domain expertise to improve financial data that feeds Bloomberg products. You will also be required to identify innovative workflow efficiencies and implement technical solutions to improve our already existing systems. You will be responsible for the integration and data management of Registry data specifically supporting the Private Markets Product Team. This includes creating pipelines for additional sources and automating existing manual workflows. You will also work closely with the Private Markets Product team analyzing and researching new datasets for potential onboarding. We'll trust you to: Identify and build automated solutions for the acquisition and processing of data that would otherwise require manual effort Use data profiling and statistical analysis to identify trends and patterns for data duplication Devise data quality strategies across various data workflows and oversee the governance Design data models to build data storage solutions for our raw and enriched data and contribute to our data alignment strategy by following the FAIR data principles Communicate and collaborate across team members and complementary teams including Engineering, Product, and Enterprise Contribute to the creation of standard methodologies and guidelines for data management and governance Use data visualization skills to report on results of ongoing operations and projects, as required You'll need to have: Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. Bachelor's degree or equivalent experience in Computer Science, or a related technical degree, preferably in combination with a Finance or business field 4 years using scripting languages (preferably Python) to query and interrogate datasets Experience profiling new datasets, and implementing high volume, low-latency ETL pipelines Solid understanding of Bloomberg tech stack, such as BAIT, DFR, and completion of a Data Automated Services course. Project management skills and the ability to adapt to tasks accordingly Excellent written and verbal communication skills Ability to work independently as well as in a team environment We'd love to see: Advanced degree/Master's degree in a Finance or STEM subject and/or Certified Data Management Professional (CDMP) designation Familiarity with use cases of sophisticated statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing Experience working in an Agile development team 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 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 (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for.
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 apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients. Our Team: In 2023, US Money Market Funds (MMF) held $6.1 trillion in AUM and Non-US MMFs held an additional $1.2 trillion in AUM. It is a growing market given the increased rates environment and fund inflows have reached all time levels. As a result, we have seen higher demand for this data from clients and are creating a new dedicated global Money Markets team. What's the role? The newly formed Money Markets team is looking for a highly motivated and driven Team Leader to support global money market issuance data and maintenance. You will be responsible for managing, motivating, and developing a team of data management professionals and content relationship managers who deliver automated solutions for the business. 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. In doing so, you'll build a close partnership with Engineering, Product, Enterprise, and other various partners. We'll trust you to: Recruit, mentor, and develop a team of domain experts and data management professionals who are experts in their field through processing time-sensitive, high-quality financial data, data analysis, and project management Lead large-scale programs (technical and operational) with enterprise-wide influence through effective data governance, cross-team organization, dependency, risk and issue management, and leadership engagement Identify and implement improvements to schemas, workflows, and operational processes Ensure consistency and quality while delivering excellent customer service to internal and external customers Collaborate with global counterparts to evolve the role, workflow, and operating procedures to ensure consistency in data quality and timeliness Solid grasp of technologies (python, UNIX, GitHub, data visualization tools) Manage and mentor team on large and sophisticated data projects and business initiatives Participate in technical discussions and provide insights on system designs, code reviews and other relevant areas You'll need to have: Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. 3 years of experience with proven leadership experience Demonstrable experience in data management related role such as data quality, data modeling and/or data engineering Expert-level knowledge of data processing paradigms and associated tools and technologies Experience driving strategies, managing sophisticated projects, and leadership ability in change management or influencing others Superb interpersonal skills, allowing you to clearly communicate business needs and to advocate on behalf of your team Ability to build influential relationships with multiple internal and external clients and partners Creative and flexible approach to problem solving, aided by strong data analysis skills Ability to set strategy and manage the product's technology development roadmap We'd love to see: Experience in semantic technologies, or an understanding of their structures Understanding of data governance and data management standard processes Solid understanding of the multifaceted impact of third-party data Exposure to the Bloomberg Terminal and/or Enterprise data 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. 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 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 (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for.
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 apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Our Team: The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by our industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data. We are dedicated to crafting an outstanding financial analysis and modeling product while constantly looking to improve and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs. What's the role? The Company Financials Data Quality team is looking for a highly motivated individual with a passion for finance, data, and technology to build and optimize our data product by developing and implementing our data quality strategy and quality assurance practices. As a Data Management Professional, you will help to develop our business outcome-based data strategies to optimize the value of data for our customers and improve data operations. We'll trust you to: Develop, refine, and complete the strategy for how to achieve best-in-class data quality for the Company Financials data products Perform data profiling and apply statistical methods to support data quality measurements Collaborate with domain experts in Data, as well as colleagues in Product and Engineering, on implementation strategies to improve data quality Lead projects globally to improve data quality across all datasets under Company Financials Provide insights and recommendations to enhance decision making capability in business planning, process improvement, and solution management Keep up with the industry trends, standards, and innovation in the data quality domain Work in a fast paced, multifaceted & collaborative setting You'll need to have: Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role A BA/BS degree or higher in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience 4 years of Python programming and scripting in a production environment 4 years experience in data analysis, financial market research, and/or information technology Sound understanding of data quality as a domain of data management (DAMA CDMP, DCAM certification a plus) Demonstrable ability to conduct data profiling and data analysis (using Python is a plus) and visualize results with tools such as Qlik Sense or Tableau Strong analytical abilities with passion for data and evidence-based decision-making Superb communication and project management skills Understanding of basic equity markets concepts and their application to financial data Solid ability to combine technical skills with business insight We'd love to see: Master's degree or equivalent experience or certification such as a CFA charter holder or CAIA Agile/Scrum Project Management experience Experience using data analysis and visualization tools such as Tableau or QlikSense 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 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 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 (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact or .uk