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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 - all while providing platinum customer support to our clients. Our Team: Our New Issues Credit Data team is responsible for the timely and accurate publication of new bonds being brought to market. We develop automated pipelines for ingestion and publication of new issue data, enhance our primary markets dataset, and find opportunities to expand our data product offering through client engagement. We work closely with internal consumers of our data including the News, Evaluated Pricing, and Index teams. We also heavily collaborate with our counterparts in Product, Sales & Engineering. What's the role? As the Data Product Owner, you'll help to grow Bloomberg's offering of corporate bond data. Using market knowledge and experience and understanding of Bloomberg's technical platforms, you will help to deliver a roadmap and strategy to improve our offering to clients and help product partners and customers achieve their goals. You will be expected to represent the team at conferences and industry events - developing an understanding of the strategic landscape and building networks with banks, contributing partners and consumers of the data. We'll Trust You To: Develop and drive a strategic vision for the corporate bond primary markets globally Keep up-to-date with market trends, attend industry events and working groups in collaboration with partners in Product Partner with Engineering to provide guidance and direction as functionality and additional datasets are built out Liaise and collaborate with other groups such as Core and Enterprise Product, Index, BVAL and Sales where there are dependencies on new issue bond data Work with data modelling teams to ensure consistent standard processes in the creation of fit for purpose data Communicate and contribute to the prioritization of business needs that guide the future direction of corporate bonds data Contribute to continuous improvement by generating ideas to improve our data products and/or associated processes 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 Fixed Income markets Strong understanding of client data needs and the strategic landscape within corporate bond markets Proven experience in data management, for example improving data quality, accuracy, efficiency 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 Proven ability to take a logical approach and apply critical thinking skills in order to tackle problems Effective project management skills and ability to prioritize tasks accordingly We'd Love to See: Previous work experience with the Bloomberg Terminal or Bloomberg Market Concepts certification 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 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 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. 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