Bloomberg L.P.

Bloomberg Intelligence - Artificial Intelligence Strategy and Industry Research Specialist Location: London Business Area: Research Ref #: Description & Requirements Bloomberg Intelligence (BI) investment research provides a comprehensive view of an industry and its key constituents and, combined with the power of the Bloomberg Professional service, gives you outstanding depth and breadth at the market, sector, industry, and company levels. "BI" offers valuable written analysis, industry data and interactive charting and functions from a team of independent experts, giving trading and investment professionals deep insight into where industries stand today and where they may be heading next. We're seeking an AI Strategy & Industry Research Specialist with a strong understanding of investment analysis, research, and data curation to join our team! The ideal candidate will play a pivotal role as the primary liaison between our Bloomberg Intelligence markets and industry analysts and Bloomberg's Product Management, Data and Engineering teams, driving innovation, and crafting the future of investment research through ground breaking technology. This position is a key driver in translating analyst insight and domain expertise into actionable research work flow efficiencies and engineering projects to ensure the success of AI Driven research tools! We'll trust you to: Leverage your deep knowledge within investment analysis, research methodologies, and data analytics to identify and assess the quality and value of analyst insights and contributions Provide actionable research ideas for the development and direction of terminal-wide AI features and tools that evolve the landscape across investment research Coordinate large groups of research analysts to participate in training data curation, response validation, and formal feedback processes to improve the performance of AI models Translate Engineering requirements into structured, executable plans for BI personnel while synthesizing resulting unstructured feedback into detailed project descriptions for Engineering use. Be an advocate for the research technology platform across both Bloomberg Intelligence and the broader Bloomberg Terminal Drive consistent adoption of technology across the organization, experiment with new technologies, and stay up to date on emerging trends in AI and the implications for investment research Develop and implement a comprehensive strategy to improve Bloomberg Intelligence research production tools (including written research publication, model and data management, data visualization and quality control) using ground breaking AI technology Collaborate with Compliance/ Risk Management teams to ensure all AI initiatives and research tools align with internal policies and external regulatory requirements You'll need to have: 3 5 years of experience in investment research, investment analysis, or a related field Solid understanding of AI/NLP/ML applications in the investment research industry Proven track record in leading cross functional teams and large projects Ability to synthesize complex feedback and project requirements into clear, actionable tasks Excellent interpersonal skills with the ability to work efficiently across departments Familiarity with compliance and risk processes in the financial services industry Experience working closely with Engineering teams is advantageous If this sounds like you: Apply and we will revert on next steps Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. 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

A leading financial services firm in London is seeking an experienced Product Manager to focus on Investment Accounting Analytics. This role requires over 10 years of expertise in investment accounting analytics with responsibilities including strategy definition, engagement with clients, and collaboration with engineers. The ideal candidate will have strong accounting knowledge, including US GAAP and IFRS, and will be instrumental in steering product development. This position offers the chance to work in a dynamic and diverse environment.

PORT Implementation Specialist, EMEA - Financial Solutions Location London Business Area Sales and Client Service Ref # Description & Requirements PORT Enterprise solution helps our clients make quicker and more informed decisions by empowering them with the tools to define appropriate investment universes with benchmarks, successfully implement optimal investment portfolio strategies, easily and accurately measure portfolio risk and return, and streamline their overall investment management workflow. The Implementation team is responsible for the full implementation of customers that will use Bloomberg's Portfolio and Risk solution (PORT) What's the role? PORT Enterprise Implementations require detailed project plan creation, regular partner meetings and in-person client training. Individuals on the team will be required to be well-versed in multi-asset classes, have a technical understanding of data-flow, and will be required to have strong project management skills. You will need strong relationship management skills and possess advanced product knowledge of PORT as well as an in-depth knowledge of fixed income and derivatives. You will use your strong project management capabilities to coordinate all aspects of the on-boarding process, understanding the client workflow, providing in-depth training and assisting clients in reconciling data. Main responsibilities will include Pre-Sales engagement, Data Ingestion Set-up, Workflow Configuration, User Training and Analytics Reconciliation. PORT require detailed project plan creation, regular partner meetings and in-person client training. We'll trust you to: Collaborate extensively with our PORT sales teams to ensure that PORT Enterprise clients are efficiently on-boarded while meeting their requirements Collaborate across business units such as: Product, Operation, Analytics, Engineering as well as Buy-side Order Management (AIM) to deliver the Bloomberg value proposition to clients Execute the agreed implementation plan to ensure maximum satisfaction for new clients Provide detailed product feedback from clients to internal business managers in an effort to continually improve our products You'll need to have: At least 5 years of experience working in Buy-Side financial institutions or a Financial Technology Organisation Project management experience in or for buy-side financial institutions Understanding of workflows used by portfolio managers, risk and attribution specialists Experience in building and maintaining relationships with stakeholders both externally and internally Experience with fixed income, equities and derivatives asset classes Critical thinking and problem-solving skills to manage complex projects Track record of meeting deadlines and setting prioritiesAPI (Python, Coding skills) The ability to travel throughout EMEA to meet with clients We'd love to see: Experience communicating with Engineering groups on product enhancements and development The inclination and aptitude to pick up new technologies and procedures The ability to effectively communicate technical/complex issues in a simplistic manner to various audiences Advanced Microsoft Excel / Power BI / Tableau skills CFA Certification Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. 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

A leading financial news organization is looking for a Senior Editor to shape ambitious coverage across credit and finance in London. The ideal candidate has over 5 years of editing experience, a passion for news, and a proven track record of producing long-form features. You will collaborate across global teams and communicate complex stories to diverse audiences. This role offers an inclusive work environment with competitive compensation and comprehensive benefits.

Senior Editor, Finance and Credit - London Location London Business Area News and Media Ref # Description & Requirements Bloomberg News is one of the biggest financial and business news organizations in the world. We lead the way in breaking news and providing analysis on financial markets, from daily coverage through to in-depth features. We are known for our quality, accuracy and ability to deliver news investors can use. It's what keeps us inventing and re inventing, all the time. Bloomberg News is seeking an expert and versatile editor in London to help shape our most ambitious work across credit and finance, two coverage areas that are key to our mission of chronicling capitalism. You'll work across teams in multiple time zones, bringing compelling stories to life for a global audience. You'll help our journalists reveal who's winning and who's losing amid the boom in private markets. And you will help us explain where the risks are emerging in finance's shifting landscape. Flexibility is key: Ideally, you're as comfortable working with fast turnarounds as with complicated and lengthy projects. You're also comfortable unpacking and distilling complex ideas, with a sophisticated grasp of what our readers want. You're a clear communicator, with an interest in cultivating and fostering collaboration across teams that span numerous locations. We'll trust you to have: Outstanding news judgement A record of mentoring and working with reporters to create deeply reported narratives The ability to prioritize and pivot based on what's happening in the news cycle A demonstrated ability to break down silos and communicate across teams, groups, platforms and regions You'll need to have: A minimum of 5 years of editing experience A passion for news A proven track record of conceiving and producing long form features A collaborative spirit and a commitment to innovate and experiment Life at Bloomberg is many things, but it's never dull. We're a truly global business with a truly diverse workforce. We pride ourselves on being open, inclusive and collaborative, and provide a work environment that inspires our employees to be their best. We offer competitive compensation, comprehensive healthcare coverage, and programs to support you and your family through different life stages, from parental leave to generous retirement savings plans. If this sounds 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, but in the meantime feel free to have a look at this: Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. 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

A leading financial services company is seeking an AI Strategy & Industry Research Specialist in London. The role involves leveraging investment analysis and AI technologies to enhance research tools. Preferred candidates have 3-5 years of related experience and a record of managing projects across teams. Responsibilities include developing AI applications, overseeing analyst contributions, and ensuring compliance with regulations. The position promotes innovation in investment research and collaboration across departments.

Bloomberg Intelligence - Artificial Intelligence Strategy and Industry Research Specialist Location: London Business Area: Research Ref #: Description & Requirements Bloomberg Intelligence (BI) investment research provides a comprehensive view of an industry and its key constituents and, combined with the power of the Bloomberg Professional service, gives you outstanding depth and breadth at the market, sector, industry, and company levels. "BI" offers valuable written analysis, industry data and interactive charting and functions from a team of independent experts, giving trading and investment professionals deep insight into where industries stand today and where they may be heading next. We're seeking an AI Strategy & Industry Research Specialist with a strong understanding of investment analysis, research, and data curation to join our team! The ideal candidate will play a pivotal role as the primary liaison between our Bloomberg Intelligence markets and industry analysts and Bloomberg's Product Management, Data and Engineering teams, driving innovation, and crafting the future of investment research through ground breaking technology. This position is a key driver in translating analyst insight and domain expertise into actionable research work flow efficiencies and engineering projects to ensure the success of AI Driven research tools! We'll trust you to: Leverage your deep knowledge within investment analysis, research methodologies, and data analytics to identify and assess the quality and value of analyst insights and contributions Provide actionable research ideas for the development and direction of terminal-wide AI features and tools that evolve the landscape across investment research Coordinate large groups of research analysts to participate in training data curation, response validation, and formal feedback processes to improve the performance of AI models Translate Engineering requirements into structured, executable plans for BI personnel while synthesizing resulting unstructured feedback into detailed project descriptions for Engineering use. Be an advocate for the research technology platform across both Bloomberg Intelligence and the broader Bloomberg Terminal Drive consistent adoption of technology across the organization, experiment with new technologies, and stay up to date on emerging trends in AI and the implications for investment research Develop and implement a comprehensive strategy to improve Bloomberg Intelligence research production tools (including written research publication, model and data management, data visualization and quality control) using ground breaking AI technology Collaborate with Compliance/ Risk Management teams to ensure all AI initiatives and research tools align with internal policies and external regulatory requirements You'll need to have: 3 5 years of experience in investment research, investment analysis, or a related field Solid understanding of AI/NLP/ML applications in the investment research industry Proven track record in leading cross functional teams and large projects Ability to synthesize complex feedback and project requirements into clear, actionable tasks Excellent interpersonal skills with the ability to work efficiently across departments Familiarity with compliance and risk processes in the financial services industry Experience working closely with Engineering teams is advantageous If this sounds like you: Apply and we will revert on next steps Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. 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

A global financial services firm in London is seeking a Senior Software Engineer specializing in Network Security. You'll be responsible for the full lifecycle of our network infrastructure, developing tools for automation, scalability, and performance. The ideal candidate should have strong programming skills in Python and experience with automation frameworks. This role also involves mentoring junior engineers and improving incident response systems, making it crucial for someone passionate about network technologies and software best practices.

Senior Data Analyst - NZDPU Location London Business Area Marketing and Public Relations Ref # Description & Requirements At NZDPU, our mission is to provide a trusted, central source of company-level climate data that is transparent and openly accessible to all. Our efforts started in 2022 when the Climate Data Steering Committee published recommendations for the development of a unified, global, open climate data repository. A proof of concept of the Net Zero Data Public Utility was launched during the UN's Climate Change Conference (COP28) and with an expansion to over 12,000 companies during London Climate Action Week this year and is publicly accessible at Over the past 3 years, we have focused on building the first product of its kind - a home for a wide set of historical company climate transition related data, freely accessible to everyone - and securing our first source of data. As we start to lay out the work for the next few years, we are working to significantly expand our network of data providers as we continue to grow global coverage and access of the platform. We'll trust you to: Manage large and complex data projects related to climate datasets, with a particular focus on company specific GHG emissions and emissions reduction targets Have knowledge of statistical analysis and demonstrated applied data analysis skills, with proficiency using Excel Keep up to date with the evolving landscape of climate related disclosure and conduct in depth analysis into upcoming disclosure requirements and standards globally Be able to translate these standards into data models and create mappings between them, reflecting their level interoperability. Serve as a subject matter expert to drive our deliverables and navigate across internal and external partner groups Apply subject matter expertise to support strategy development for engagement activities. Make strategic decisions under pressure and operate with flexibility in a changing environment Synthesize complex topics or information and communicate clearly to senior stakeholders. You'll need to have: BA/BSc in Environmental Science, Economics, Finance, Political Science, Engineering, Mathematics, Physics, or another quantitative subject 5+ years of experience working within the sustainability and climate policy space. Deep knowledge of climate related disclosure frameworks such as the GHG Protocol, ISSB's IFRS S2, and PCAF, with strong preference for familiarity with GHG emissions accounting and emissions reduction target setting A collaborative approach and exceptional relationship building and communication skills - both written and verbal We'd love to see: Master's degree in environmental science, Sustainability, Economics, Public Policy, Engineering, Mathematics, MBA, or related field preferred/CFA or CAIA designation Experience with Python and SQL Familiarity with product development processes, having worked in close collaboration with product teams Experience using modern AI tools to support data analysis, automate workflows, and contribute to content creation and insight generation. Ability to read/write in a language other than English Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. 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

Overview Senior Data Management Professional - Data Quality - Entities Data (Private Markets) Location: London Business Area: Data Ref #: Description 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 domain and technical expertise to make data fit-for-purpose, timely, and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and deliver a high level of customer service. Our Team The Entity Data team is responsible for the creation, enrichment, and support of core entity data, including legal entities, issuers, and corporate hierarchies, for over 7 million public and private companies. This data underpins foundational reference data, private markets, and risk management. The team partners closely with Engineering, Product, and other Data groups to ensure our data management processes, ingestion pipelines, quality controls, and delivery methods evolve with market needs. What's the Role? As a Data Quality Manager, you will define and execute the quality strategy that ensures our datasets are reliable, consistent, and ready for critical client use cases. You will lead efforts to design and implement effective data management practices, establish quality metrics, and deliver transparent reporting. Your work will directly support the transformation of our data workflows, enabling scalability for private markets and beyond. This role requires a mix of technical expertise, governance mindset, and stakeholder engagement skills. You'll collaborate closely with Engineering, Product, and internal Centers of Excellence to ensure our datasets evolve in line with industry standards while also meeting client expectations for accuracy, coverage, and usability. We'll Trust You To: Develop and deliver the data quality strategy for the Entities product, aligning it with client use cases and industry best practices. Define, measure, and monitor data quality metrics that ensure transparency and accountability across workflows. Partner with Product, Engineering, and Data teams to embed quality-by-design principles into ingestion, transformation, and delivery pipelines. Perform data profiling, statistical analysis, and root cause investigations to validate approaches and recommend improvements. Lead initiatives to modernize workflows-advocating for automation, AI/ML-enabled quality checks, and scalable infrastructure enhancements. Promote data quality awareness and education across the organization, empowering colleagues to embed quality into their work. Stay ahead of industry developments in reference data and private markets to shape our data strategy. 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 professional experience in data quality management, reference data, or data governance. Hands-on experience with data profiling/analysis tools such as Python, R, or SQL. Familiarity with ETL processes, data pipelines, and workflow design. Experience with data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insights. Proven ability to collaborate across teams and geographies, influencing both technical and business partners. Comfort working in a dynamic, evolving environment, balancing long-term strategy with immediate operational needs. Strong analytical skills, attention to detail, and a solutions-oriented mindset. We'd love to see: Industry-recognized data management certifications (e.g., DAMA, CDMP, DCAM). Experience with reference data, entity/issuer data, or private markets datasets, including integration of third-party providers. Exposure to Agile methodologies such as Scrum or Kanban. Hands-on knowledge of data governance and quality frameworks, including metadata management and regulatory considerations. Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation. Exposure to Agile methodologies such as Scrum or Kanban. Awareness of emerging trends in Private Markets data, including the complexities of non-public entities and their role in financial workflows. Understanding of financial use cases that depend on accurate entity data, such as client onboarding, compliance/KYC, counterparty risk, and issuer classification. 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 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

Overview Analytics & Sales - German Speakers - 2026 start dates Location: London Business Area: Sales and Client Service Ref #: Description & Requirements The Analytics and Sales program is a unique opportunity to develop a comprehensive understanding of our Bloomberg products and clients in the wider context of financial markets. Following our comprehensive training program, you will apply your knowledge by assisting our clients in the Analytics department. In our Analytics business, you will provide 24/7 support for Bloomberg Professional Service users all over the world and across multiple industries. Reaching us via our Helpdesk using the 'Instant Bloomberg' chat system, clients access unparalleled customer service where we answer their questions and help them maximize the value of Bloomberg's products. On any given day we respond to over 12,000 queries in more than 15 languages. From educating a portfolio manager on Bloomberg's risk management solutions to helping a trader use our functionality to discover new sources of market liquidity - the variety of problems we solve is immense. Bloomberg is constantly innovating, and Analytics plays a key role in ensuring clients are educated on new products and enhancements by proactively working closely to upskill them through technology and delivering on-site training and seminars. We also work in conjunction with Sales to deliver strategic initiatives, supporting product roll-out and onboarding clients. We want to ensure our clients are making the most of our service and using tools and features that allow them to work smarter. As you deepen your knowledge, you will have the opportunity to enter our sales department. In Sales, we are the face of Bloomberg for our clients. Consultative and entrepreneurial, we manage client relationships, whilst striving to continually grow our revenue by identifying new business opportunities. We spend our time with our clients, understanding their business goals and outpacing their expectations. Guided by curiosity and purpose, we work to understand their workflows and present them with the most appropriate solutions across our range of enterprise offerings. What's in it for you? You will start by completing our comprehensive Analytics & Sales training program, covering all aspects of the financial markets: industry principles, market players and asset classes - while teaching you all there is to know about the functionality and analytical tools Bloomberg has to offer! You will join one of our Analytics teams, delivering exceptional customer support to our clients by providing fast and accurate solutions to their queries, while continuing to develop your knowledge through asset class and workflow specialist training. There are multiple opportunities to further your career across the department or the company, with most Analytics representatives progressing towards opportunities in Sales. You may also develop into a specialized support role in our Advanced Team and in time take on a leadership role. Who you are? You understand the drivers behind market moving stories and events. You are a solution-finder, with a real passion for providing exceptional customer service in a fast-paced environment and a desire to build a career in a client-facing role, you understand the importance of credibility and building relationships! You'll need to have Business fluency in GERMAN , in addition to English (written and verbal) Sponsorship is available for this role. To be eligible you must be eligible for the UK Skilled Worker under the New Entrant Requirements (see below). A Bachelor's degree (or above) or relevant work experience Ability to multitask and resolve client inquiries while also proactively identifying sustainable workflow solutions for our clients Demonstrated interest in the financial markets and the aspiration to work in the financial services industry Strong critical-thinking and problem-solving skills The desire to learn and adapt quickly in a dynamic training and client facing environment The ability to demonstrate resilience and agility in a fast-paced environment A commitment to achieve the highest levels of efficiency and effectiveness Ambition to pursue a client-facing career, with a strong interest in relationship management and sales Outstanding communication skills (both written and verbal) Willing and able to travel around EMEA to meet the business needs of our clients Flexibility to occasionally work weekends or on a bank holiday (weekday off in lieu) We'd love to see Demonstrated exposure to Python or other coding languages preferable Previous experience engaging with clients in a relationship management capacity Beginner to intermediate experience with excel and/or VBA If this sounds 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, but in the meantime feel free to have a look at: New Entrant criteria for Sponsorship Where the applicant does not meet the salary threshold for experienced workers, they may be able to meet a reduced threshold as a New Entrant if they meet the criteria. To be a 'New Entrant' at least one of the following criteria must be met: Applicant is under 26 on the date of application; or Applicant is working towards a recognised professional qualification in a UK-regulated profession; or Applicant is working towards full registration or chartered status with the relevant professional body for the job they are sponsored for; or Applicant's most recent permission, other than as a visitor, was under the Student route (within last 2 years) and the course has finished (or will finish within 3 months); or Applicant's most recent permission, other than as a visitor, was under the Graduate route (within last 2 years). Bloomberg is an equal opportunity employer and 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

Team Leader-EMEA Credit Control Location London Business Area Accounting and Finance Ref # Description & Requirements Bloomberg Chief Accounting Office is seeking a Team Leader for the EMEA Client Financial Services team to oversee the Accounts Receivable function, ensuring timely collection of payments and exceptional customer service across Bloomberg's EMEA portfolios. The role involves managing and developing the team, handling escalations, collaborating with stakeholders, driving process improvements, and maintaining a professional environment. Candidates should have a bachelor's degree, experience in accounting or collections, strong communication and problem-solving skills, and the ability to lead and train teams, with preferred qualifications including leadership experience, portfolio management, customer service, onboard program development, and SAP knowledge. This role entails leading a team that is committed to obtaining prompt payments from our customers across all Bloomberg line of businesses in a timely manner. What's in it for you? Work as a product owner for the team responsible for ensuring the collection of aged receivables & timely application of payments across all EMEA portfolios. Provide regular coaching and constructive feedback to CFS representatives on a weekly or bi-weekly basis to support their development and performance. Act as an escalation point for customer billing & payment issues, communicating in a professional manner, constantly striving to provide excellent customer service. Collaborate and establish relationships with internal stakeholders & external customers Identify, recommend, and see through process improvement initiatives with Global CFS, the SAP Solutions & Engineering teams. We'll trust you to: Develop people to achieve by managing, mentoring, and evaluating performance of the CFS EMEA team while supporting their ongoing development & training. Be accountable for the entire collections portfolio by setting and meeting specific goals related to the aging of open receivables, unapplied credits, and customer service metrics. Ensure the team is actively pursuing and processing customer refunds, write-offs, escheatable items, and preparing delinquent customers for third party collections. Communicate the Vision by building and developing a strong onboarding & training program for incoming new hires. You need to have: Bachelor's degree Leadership experience Experience in accounting operations, corporate collections, Accounts Receivable, or Order-to-Cash processes Ability to influence and negotiate with customers & stakeholders Strong ability to collaborate effectively with team members, direct reports, and stakeholders. Ability to multi-task, trouble shoot & solve complex problems while utilizing multiple system interfaces and addressing a high volume of work within a fast paced environment Exceptional communication skills We'd love to see: Proven ability at successfully managing a large portfolio Customer service and/or client facing experience Experience at building and leading an onboarding & training program for new hires Knowledge of SAP Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. 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

A global financial services firm in London seeks a Senior Data Management Professional to design and maintain data pipelines for private transactions. The ideal candidate has over 3 years of experience in data engineering and strong programming skills in Python or Java. You will collaborate across teams to ensure the integrity and reliability of data models in a fast-paced environment, contributing to data innovation and quality improvements.

Index Production Analyst Location London Business Area Data Ref # Description & Requirements 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 customer support to our clients. Our Team: Bloomberg Index Services Ltd (BISL) is a leading global provider of index solutions. Bloomberg offers a broad and evolving suite of industry flagship and bespoke indices for benchmarking, asset allocation, customization and product creation leveraging the unparalleled power of Bloomberg data and research. Indices are available across multiple asset classes including Fixed Income, Equities, Commodities, Currency, Interest Rates, Multi Asset Strategies, and Alternatives as well as Thematics, Climate and ESG with full integration with the Bloomberg terminal. As an Index Production Analyst, you will join a global team responsible for the daily monitoring, processing, data quality and publishing of the Bloomberg Indices. You will be working with various internal groups in Engineering, Data, Product, and Sales to support the expansion of our index offering. We will trust you to: Run daily production tasks, responding to events raised in BISLs proprietary index monitoring systems. Become a subject matter expert in multiple asset classes, related data and indices. Maintain the integrity of indices in accordance with Bloomberg's methodologies, ensuring accurate application of index rules, quality control and data remediation. Perform index rebalance evaluations, including analysis of membership inclusions and omissions. Collaborate with the Index Product team to help design the tools needed to build new/customized indices. Work with both our clients and internal partners in response to index data related queries. Work closely with colleagues in Engineering to develop work flows, quality assurance processes and product improvements. You will 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 index experience Strong data and quantitative analysis skills Strong operational and process management skills Ability to analyze a problem on the fly, in real time, with limited information, and determine a valid and helpful course of action Ability to identify and communicate the key points of information to partners and stakeholders-clearly, completely, and concisely-under pressure Willingness to learn complex business and technology processes and actively contribute to their evolution Self motivation, with the ability to work independently as well as part of a team Ability to interact and effectively communicate with our clients We would love to see: Technology skills (Python, SQL & VBA) would be desirable Eagerness to learn and work in a challenging, complex, dynamic, high pressure environment 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. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. 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

Overview Senior Editor, Finance and Credit - London Location London Business Area News and Media Ref # Description & Requirements Bloomberg News is one of the biggest financial and business news organizations in the world. We lead the way in breaking news and providing analysis on financial markets, from daily coverage through to in-depth features. We are known for our quality, accuracy and ability to deliver news investors can use. It's what keeps us inventing and re-inventing, all the time. Bloomberg News is seeking an expert and versatile editor in London to help shape our most ambitious work across credit and finance, two coverage areas that are key to our mission of chronicling capitalism. You'll work across teams in multiple time zones, bringing compelling stories to life for a global audience. You'll help our journalists reveal who's winning and who's losing amid the boom in private markets. And you will help us explain where the risks are emerging in finance's shifting landscape. Flexibility is key: Ideally, you're as comfortable working with fast turnarounds as with complicated and lengthy projects. You're also comfortable unpacking and distilling complex ideas, with a sophisticated grasp of what our readers want. You're a clear communicator, with an interest in cultivating and fostering collaboration across teams that span numerous locations. We'll trust you to have: Outstanding news judgement A record of mentoring and working with reporters to create deeply reported narratives The ability to prioritize and pivot based on what's happening in the news cycle A demonstrated ability to break down silos and communicate across teams, groups, platforms and regions You'll need to have: A minimum of 5 years of editing experience A passion for news A proven track record of conceiving and producing long-form features A collaborative spirit and a commitment to innovate and experiment Life at Bloomberg is many things, but it's never dull. We're a truly global business with a truly diverse workforce. We pride ourselves on being open, inclusive and collaborative, and provide a work environment that inspires our employees to be their best. We offer competitive compensation, comprehensive healthcare coverage, and programs to support you and your family through different life stages, from parental leave to generous retirement savings plans. If this sounds 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, but in the meantime feel free to have a look at this: 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

A global financial information company is looking for an Index Production Analyst in London. This role involves monitoring, processing, and ensuring the quality of Bloomberg Indices. The ideal candidate will have a strong background in data analysis and a minimum of 3 years of index experience. Skills in Python, SQL, and VBA are desirable. This position offers an opportunity to work closely with multiple teams and contribute to innovative index solutions.