BLOOMBERG L.P.

Senior Software Engineer - Buy-Side Location: London Business Area: Engineering and CTO Ref #: Bloomberg Buy-Side: Powering Global Asset Management at Scale Bloomberg Buy-Side delivers a comprehensive, multi-asset technology platform that unifies portfolio management, trading, compliance, and operations into one globally integrated solution. Built for performance and scalability, Bloomberg Buy-Side empowers asset managers to seamlessly expand into new markets, asset classes, or investment strategies-without disruption or system reengineering. Trusted by over 100,000+ professionals across 90+ countries and 850+ institutions, including leading asset managers, hedge funds, insurers, pension funds, and sovereign entities, Bloomberg Buy-Side sets the industry benchmark for reliability, innovation, and execution at scale. What's in it for you? The Buy-Side department is in a period of growth and has multiple openings across different teams. Through our interview process we'll deepen our understanding of your transferable skills, as well as identify where you'll be the most impactful across multiple openings. Regardless of which team, you'll work on systems that move markets and power investment decisions around the world. You'll collaborate with world-class engineers and finance professionals in a fast-paced, intellectually rigorous environment - one that values technical mastery, curiosity, and continuous learning. Whether you're optimizing distributed systems for high throughput, designing high-availability infrastructure, or building tools that give clients a competitive edge, your impact will be both immediate and global. Bloomberg fosters a culture where engineers are encouraged to experiment, take ownership, and evolve into technical leaders who shape the future of financial technology. What will you do? End-to-End Ownership: Take full responsibility across the software development lifecycle - from business requirements and architecture design to implementation, deployment, and ongoing maintenance. Technical Visibility & Accountability: Deliver enterprise-grade solutions that directly impact clients' investment workflows and firm-wide operations. Engineering Excellence: Build distributed, fault-tolerant, and highly scalable systems with strong observability, resilience, and automated testing from day one. Complex Problem Solving: Design and implement technology that transforms complex client workflows into streamlined, high-impact solutions across global market Cross-Functional Collaboration: Partner with product managers and infrastructure engineers to deliver measurable business value. Leadership & Impact: Manage technical projects and coordinate with multiple stakeholders to drive forward strategic initiatives. You'll need to have: BA, BS, MS, PhD in Computer Science, Engineering or related technology field 'or equivalent practical experience Strong foundation in object-oriented design, data structures, and algorithms. 4+ Years of experience in C++, Java or Python with the ability to write clean, efficient, and maintainable code. Familiarity with all phases of the Software Development Lifecycle (SDLC) Proven experience building enterprise-grade applications or large-scale distributed systems. Excellent communication skills with a collaborative and growth-oriented mindset. Commitment to engineering rigor, continuous improvement, and delivering robust, production-quality software. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. 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

Bloomberg L.P. is looking for a Senior Software Engineer in London to lead the software development lifecycle, from design to maintenance. You'll take ownership of distributed systems and build scalable solutions while collaborating with product managers and engineers. The ideal candidate holds a degree in Computer Science or a related field and has at least 4 years of experience in C++, Java, or Python. Bloomberg offers a diverse and inclusive workplace, fostering continuous learning and technical ownership.

Senior Software Engineer - TRAX Observability Location: London Business Area: Engineering and CTO Ref #: About TRAX TRade Automation and eXecution (TRAX) is part of Bloomberg Enterprise Products Engineering. We build trade automation solutions and multiple Execution Management Systems (EMSs) that enable clients to route orders, execute trades, and monitor outcomes across asset classes. Trading is the core action of financial markets. Once investment decisions are made, traders rely on our systems to execute and manage trades. Ensuring these systems are observable, scalable, resilient, and well managed from a technical risk perspective is critical - and that's where TRAX Observability comes in. Our work focuses on: Informing (or alerting) stakeholders to system performance and degradation Demonstrating client impact during deployments Identifying emerging client behaviors and future system needs We build and maintain data infrastructure using firm-supported monitoring tools. This includes a custom telemetry platform that combines multiple data sources for advanced analysis, and a distributed trace pipeline (Argo, Spark, Solr) that processes large scale data for deep investigation. We also leverage tools such as Humio, Grafana, and MetricTank to support observability across the department. Learning & Technical Growth Work alongside experienced senior engineers with deep expertise in distributed systems, trading platforms, cloud infrastructure, and operations. You'll gain hands on experience building high throughput metrics and observability systems. Influence & Visibility Observability is central to system reliability and client experience. Your work will directly impact the stability of key Bloomberg systems and help prevent client facing issues. Network & Stakeholder Exposure Collaborate with engineering and product teams across London, Frankfurt, Tel Aviv, and New York, as well as peer SRE teams focused on Scalability and Resilience. You'll develop strong stakeholder management and communication skills. We'll trust you to: Enhance and maintain systems that capture and present performance metrics Improve the reliability and accuracy of telemetry and analysis Understand and assess client experience risks within EMS platforms Communicate system health and performance to stakeholders Partner across teams to strengthen observability Support Scalability and Resilience initiatives with actionable data Assist in triaging major incidents and production issues You will need to have: Experience with a high level language (Python preferred, but not required; Java, C++, etc. welcome) Knowledge of Unix/Linux fundamentals (or strong willingness to learn) Familiarity with observability concepts (e.g., distributed tracing, logging, metrics, tools such as Grafana or similar) Understanding of distributed systems concepts (replication, partitioning, scalability, messaging, state management) and eagerness to deepen that knowledge We would love to see: Exposure to cloud and data processing technologies (e.g., Argo, Spark, Solr) Experience communicating across IC and leadership levels Curiosity across the full software/hardware stack Strong written and verbal technical communication skills 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

Software Integration Engineer - Bloomberg Broadway London Description & Requirements Bloomberg Broadway builds and delivers high-performance distributed systems that streamline the trading and transacting of money and financial assets. Our platform empowers clients to compose, adapt, and scale intelligent systems for Fixed Income markets with a level of configurability and control that was previously impossible. Our Software Integration Engineers are solution architects and technical engagement leads who collaborate directly with clients to deliver customized workflows and integrations. While coding may be part of the role, it is not the core focus - domain expertise and systems and integration engineering are what drive success. As a Software Integration Engineer, we'll expect you to: Design and deploy custom workflows across critically important, latency-sensitive distributed trading platforms. Configure and integrate Broadway's flexible components to meet nuanced client needs. Act as a domain-focused product owner, defining and shaping incremental delivery pieces through "Micro Product Management." Engage deeply with front-office users and technologists - from traders and quants to IT and business leads - to understand workflows and translate them into actionable designs. Own delivery end-to-end, managing requirements, timelines, and solution quality across stakeholder groups. Contribute to ongoing system evolution by surfacing client use cases that inform product design and integration patterns. When needed, extend functionality through light programming (in Python, Java, C++, or C#). This is not a heads-down coding job. This is a high-impact integration role for engineers who want to own solutions, talk to clients, and shape systems that get used. You'll operate at the center of business logic, architecture, and client delivery-where technology meets the market. You'll need to have: 5+ years of experience in software engineering, systems integration or solution architecture in complex enterprise environments. Strong understanding of distributed systems principles and how to troubleshoot, configure, and optimize large-scale services. Experience in real-time or high-throughput system environments-preferably in capital markets or a similarly time-sensitive domain. Excellent communication skills: you can explain, persuade, and guide both technical and non-technical audiences. Familiarity with databases (SQL) and scripting languages to support integration and customization work. An advanced degree in Computer Science, Engineering, Mathematics, or equivalent hands on experience. Experience collaborating directly with customers to deliver software-either through integration or development We'd love to see: Front office trading or capital markets exposure, especially in Fixed Income. Proven ability to turn business objectives into system designs and integration plans. Curiosity and depth-willingness to push past surface level requirements to design robust, scalable solutions. Self direction and ownership in navigating people, process, and technology. A collaborative mindset-sharing insights, building on others' work, and elevating team capabilities. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. 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.

Bloomberg L.P. is seeking a Technical Product Manager to enhance their data manufacturing infrastructure. This role will involve defining and executing the product roadmap while collaborating with various stakeholders to improve data management processes. Ideal candidates will have extensive experience in product management, particularly with infrastructure and data pipelines, along with strong technical skills. The position offers a dynamic work environment in London.

Bloomberg L.P. seeks a Software Integration Engineer in London to engage with clients and design custom workflows for trading systems. This high-impact role demands strong expertise in software engineering, systems integration, and extensive communication skills. The ideal candidate will have over 5 years of experience, an advanced degree in related fields, and a passion for delivering robust solutions. Bloomberg values diversity and is committed to inclusivity.

Bloomberg L.P. is seeking a Senior Software Engineer for their TRAX Observability team in London. This role focuses on enhancing system performance metrics and ensuring reliability across trading systems, affecting client experience directly. The ideal candidate has experience in high-level programming languages and a good grasp of observability concepts. Collaborate with teams across multiple locations to manage critical systems effectively. Bloomberg values diversity and is an equal opportunity employer.

Senior AI Engineer - Generative AI & Search - Artificial Intelligence Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior AI Engineers with expertise and a passion for Information Retrieval, Search technologies, Natural Language Processing and Generative AI to join our AI Experiences team. Our teams are working on exciting initiatives such as: Developing and deploying robust Retrieval-Augmented Generation (RAG) systems, curating high-quality data for model training and evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions. Designing and implementing tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users. Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights. Building robust APIs to facilitate search across diverse collections of data, ensuring highly relevant results and maintaining system stability and reliability. You'll have the opportunity to: Collaborate closely with cross-functional teams, including product managers and engineers, to integrate AI solutions into client facing products, enhance analytical capabilities and improve user experience. Architect, develop, and deploy production-quality search systems powered by LLMs, emphasizing both ML innovation and solid software engineering practices. Continuously identify areas for improvement within our search systems, proactively experiment with new ideas, and rapidly implement promising solutions-even when improvements rely purely on engineering without direct ML involvement. Design, train, test, and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization. Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions. Represent Bloomberg at industry events, scientific conferences, and within open-source communities. You'll need to have: Proven practical experience solving real-world problems using NLP, Information Retrieval, Search technologies, and Generative AI technologies. Knowledge of search platforms like Apache Solr or Elasticsearch is a plus. Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications. Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem solving approach. Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and client needs. We give back to the technology community and you can read more about our outreach at: If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. 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

Product Security Engineer - Software Security Enablement Location London Business Area Legal, Compliance, and Risk Ref # Description & Requirements Our Team: Bloomberg is building the world's most trusted information network for financial professionals. We protect Bloomberg. We partner with internal departments to ensure the confidentiality, integrity, and availability of Bloomberg systems and the data we process. We aim to ensure that our clients see us as a trusted partner. Our Chief Information Security Office (CISO) owns the technical aspects of this mission by ensuring Bloomberg products, systems, networks and commercial applications are built and maintained with security in mind. What's the role? We are seeking a Product Security Engineer to help ensure that Bloomberg software is built securely. You will be responsible for building and maintaining automated security capabilities across the software development lifecycle. You will also engage with engineering partners to provide remediation guidance and enhance security testing to deliver high-fidelity, actionable results. As a member of the Product Security Enablement team, you will help provide automated security testing solutions for Bloomberg, including SAST, DAST, SCA, Secret searching and LLM-based assessments. Our team's goal is to create preventative security capabilities that integrate into development pipelines and help detect issues early in the software development lifecycle. An engineering skillset is required for this role. You will be responsible for prototyping new tools, integrating security testing tools and capabilities into the software development lifecycle, and developing custom security capabilities to deliver scalable testing solutions to our engineering teams. This role will routinely challenge your technical background and critical thinking. You will be expected to collaborate with different stakeholders in a fast-paced environment across many technology stacks and services. We'll trust you to: Partner with engineering stakeholders to understand Bloomberg's development landscape and security needs. Develop automated security solutions that integrate into development pipelines. Maintain and enhance existing security automation processes and security capabilities. Understand and research technical details of core technology stacks and develop or enhance custom code analysis queries. Communicate vulnerability landscape and work on mitigations with stakeholders across the business. Actively monitor the latest news and trends in automated security capabilities, secure development, and AI-assisted security workflows. Develop and enhance operational runbooks. Perform ad-hoc vulnerability discovery, including code review and static analysis for key engineering teams, applications and services. Build or adopt new security capabilities to address issues at scale, such as Software Composition Analysis, Secret searching, and other automated security testing techniques. Use LLMs and AI-assisted workflows as part of security assessments, vulnerability research, secure code review, developer enablement, and security automation. Explore, evaluate, and build automation using modern LLM tooling and integration patterns, including custom skills, MCP servers, agentic workflows, retrieval-augmented workflows, and integrations with development and security tooling. You'll need to have: A strong core engineering background with a proven track record. 3+ years of experience in software development. Strong programming experience, with working knowledge of at least one of: C/C++, Python, JavaScript/TypeScript. Knowledge and experience with DevOps and software used in development pipelines (e.g. Github, Jenkins). Working knowledge of build systems, package managers, and development tooling (such as cmake, npm, maven, gradle etc). A core understanding of common security vulnerabilities, such as OWASP Top 10 issues and language-specific vulnerabilities. Experience using, evaluating, or building with LLMs or AI-assisted tooling in technical workflows. Ability to combine technical knowledge with an understanding of core aspects of an information security program. Motivation to keep up with latest trends and techniques in the information security community. Excellent written and verbal communication skills. We'd love to see (not required, but nice to have!): Experience or familiarity with running, maintaining, and customizing static analysis security testing tools such as CodeQL and Semgrep. Broad familiarity with programming language ecosystems and frameworks, particularly C++, JavaScript/TypeScript, Python, Java as well as well as modern systems and infrastructure languages such as Go and Rust Experience using LLMs or AI-assisted tools for security assessments, vulnerability research, secure code review, developer enablement, or security automation. Familiarity with LLM automation concepts and tooling, such as custom skills, MCP servers, agentic workflows, retrieval-augmented workflows, or integrations with development and security tooling. Knowledge of open source software component management, Software Composition Analysis, and related security tools. Knowledge of core concepts in public cloud providers such as AWS, GCP, and Azure. Familiarity with container orchestration technologies such as Kubernetes and Docker, and cloud deployment orchestration. Technical information security certifications, such as CISSP, CSSLP, or SANS certifications. Prior experience integrating security testing into DevOps pipelines. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. 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

Bloomberg L.P. is seeking a Senior AI Engineer specializing in Generative AI and Information Retrieval to join their AI Experiences team in London. The ideal candidate will have hands-on experience in developing search technologies using LLMs and a strong foundation in software engineering practices. You will collaborate with cross-functional teams to design innovative AI solutions that enhance client offerings and drive business success while staying current with industry advancements.

Senior Software Engineer - Index Data EU Location: London Business Area: Engineering and CTO Ref #: Description & Requirements We power some of the most widely recognized indices in the world - billions of dollars are benchmarked against what we build. We're now expanding into the Equity Index market, and the Index Data team is at the centre of that growth. Come and help us build it. Our Bloomberg Index Data team owns its domain end-to-end - building data pipelines, APIs, validation tooling and operational UIs spanning Equities, Commodities, FX, Rates, Futures, Options, Swaps and Crypto. We partner closely with Product and Operations to shape what gets built, not just how. We're scaling fast, the problems are genuinely complex, and there's real architectural influence up for grabs. We're looking for a senior engineer who loves solving real business problems with code. Someone who digs into the business context - understanding why something matters before deciding how to build it - then owns the design and delivery end-to-end. You'll work across team boundaries, translate financial methodologies into clean domain models in C#/.NET, and help evolve a platform that's growing in scope and sophistication every month. You'll need to have: Strong object-oriented design skills and experience building scalable backend systems, with a track record of owning and delivering complex initiatives across team boundaries A problem-solving mindset - you start from the outcome, design a solution, and iterate The ability to operate effectively in ambiguous, evolving problem spaces and deliver incrementally Strong communication skills and confidence working with Product and Operations stakeholders to understand their needs and shape solutions together Experience in financial markets is strongly preferred; specific index knowledge is not required We'd love to see: Experience architecting distributed systems using messaging technologies Strong data modelling experience and familiarity with SQL-based systems Proficiency with performance profiling and refactoring for order-of-magnitude gains Experience mentoring engineers and raising technical standards across a team Knowledge of C#/.NET is great but not necessary - we have experience onboarding Java and C++ developers for example Frontend experience is welcome but not required - engagement with workflow and usability discussions is valued regardless of hands-on UI coding If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. 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

Bloomberg L.P. is seeking a Senior Software Engineer - Index Data EU in London. In this role, you'll build data pipelines, APIs, and operational UIs that are crucial for our expanding Equity Index market. The ideal candidate should possess strong object-oriented design skills, effective problem-solving capabilities, and experience working in financial markets is preferred. You will work collaboratively with Product and Operations to shape solutions, ensuring they meet complex business needs. This position is perfect for someone passionate about delivering significant architectural influence and solving challenging business problems.

Bloomberg L.P. is looking for a Technical Product Manager to lead the development of data manufacturing infrastructure in London. This role involves defining product roadmaps, collaborating with multiple teams to ensure alignment with company goals, and applying your technical expertise in product management. Candidates should have over 8 years of experience, strong knowledge of data flows and microservices, and excellent communication skills to influence stakeholders.

Technical Product Manager - Data Manufacturing Infrastructure Location London Business Area Data Ref # Description & Requirements Bloomberg runs on data. In Data, we are transforming how that data is manufactured, observed, validated, and prepared for use by clients, internal systems, and AI-driven products. Our data manufacturing infrastructure supports the pipelines that move content from acquisition through classification, validation, enrichment, modeling, and publication. As those workflows become more automated and AI-enabled, we need infrastructure that is observable, measurable, resilient, and designed for continuous improvement. Data Management & Operations (DMO) is looking for a Technical Product Manager to help shape the next generation of data manufacturing infrastructure. This role will partner closely with DMO, partner Engineering Infrastructure, AI, and domain teams to define a product roadmap for infrastructure capabilities that support automation, observability, process analysis, semantic data readiness, and scalable production workflows. This is not a traditional project management role. You will apply product discipline to infrastructure: translating complex methodological, operational, and Engineering needs into a clear and articulate roadmap; helping teams make explicit tradeoffs; and ensuring that infrastructure design decisions support the long-term strategy for data manufacturing optimization and automation. We'll trust you to: Define and maintain the product roadmap for data manufacturing infrastructure in partnership with DMO and Engineering leadership, ensuring priorities are clear, defensible, and aligned to Data's goals and strategy. Prioritize needs across multiple stakeholders to construct a coherent backlog that reduces complexity and achieves focus. Balance competing infrastructure needs, including observability, pipeline analysis, and technical migrations. Possess a robust knowledge of data manufacturing approaches across Data, and develop strategies that improve adoption while respecting Engineering architecture and operational constraints. Evaluate where agentic and LLM-based approaches add value in the data manufacturing pipeline, and where deterministic microservices, rules engines, APIs, or other traditional implementations remain the better solution. Partner with Engineering on new pipeline components to ensure added intelligence does not reduce observability, diagnosability, maintainability, or operational resilience. Maintain a clear view of technological trends and evaluate open source or third party software that may support the data manufacturing process. Help ensure the observability platform evolves beyond technical event monitoring into an operational intelligence layer that supports analysis, experimentation, simulation, and continuous improvement. Develop a structured interface between Engineering and internal stakeholders, structuring conversations to be well-scoped, technically grounded, and actionable. Shape inbound demand to Engineering, helping stakeholders articulate needs in a way that is complete, prioritized, and consistent with the platform direction. Communicate the Engineering roadmap and platform capabilities to DMO, AI, and domain teams so they can plan their own work with greater confidence. Drive incremental, reversible delivery. You will help define maintainability criteria, release gates, and post-incident learning loops so that edge cases and failures are fed back into product requirements. 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. 8+ years of experience, including substantial experience in technical product management for infrastructure, platform, data pipeline, or production-scale systems. Experience building product management practice in environments where it did not previously exist, including earning credibility with senior engineers before exercising influence. Technical fluency across microservices architecture, distributed systems, APIs, data pipelines, and platform design. Experience translating ambiguous business, operational, or analytical needs into clear product requirements and Engineering-ready specifications. Experience defining observability, telemetry, or operational intelligence requirements as part of product design, not only as post-deployment monitoring. Strong judgment about when to use AI, LLM, or agentic approaches and when simpler deterministic designs are more appropriate. Strong written communication skills, including the ability to produce clear product requirements, decision memos, roadmap narratives, and senior leadership updates. Proven ability to lead through influence across cross functional or matrixed teams where formal authority is limited or absent. A track record of building trust with technical teams through partnership, clarity, and disciplined prioritization. We'd love to see: Experience with data platforms, ETL/ELT systems, data contracts, schema governance, data quality tooling, metadata management, or lineage platforms. Familiarity with process analytics, statistical process control, workflow simulation, experimentation, or other methods used to evaluate operational systems. Experience defining infrastructure or data product requirements for AI and LLM consumption, including structured and unstructured content workflows. Exposure to data observability tools, lineage systems, or operational monitoring platforms, including a point of view on where these tools succeed and where they fall short. Experience working with semantic models, knowledge graphs, entity resolution, metadata governance, or AI ready data initiatives. Academic or professional background in computer science, data engineering, statistics, economics, operations research, or a related technical discipline. You'll be successful in this role if you: Improve the velocity and variety of content that is ingested by Data and converted into robust data products. Improve the Data's ability to adopt relevant, emerging technologies, as well as pivot to new or differently structured data products. Build credibility with engineering by demonstrating technical depth, judgment, and respect for architectural ownership. Help DMO, Engineering, AI, and domain teams converge on a shared roadmap for data manufacturing infrastructure. Turn observability and instrumentation from a monitoring function into a product capability that supports better decisions. Make infrastructure priorities more visible, adoption paths clearer, and tradeoffs easier for senior stakeholders to understand. Improve the organization's ability to evaluate automation opportunities empirically rather than relying on intuition, one-off analyses, or disconnected tooling. Does this sound like you? 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

Project Manager, HR Enterprise Enablement and Governance Location London Business Area Human Resources Ref # Description & Requirements The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough - we work hard, and we work fast, while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing. Our culture is open, collaborative, and focused on elevating one another. Here, you can do incredible work - the kind of work that has a real impact across the company. It's up to you to make it happen. The Team The newly established HR Enterprise Enablement and Governance Team sits at the center of the HR Enterprise organization, connecting the dots across Global People Services, Employee Relations, Benefits, Position Management, and Immigration. We partner closely with HR Technology, Centers of Excellence and HR teams to strengthen alignment, create clear ownership for cross-functional priorities, and elevate operational excellence across HR. We are the hub that drives shared strategies, consistent execution, and visibility across enterprise-wide initiatives. Our remit spans project management, operational governance, data and insights, and policy/process governance. This team brings together work that touches all areas of HR - ensuring we deliver greater consistency, transparency, and effectiveness for both employees and HR stakeholders. What's the role? We're looking for an experienced HR Project Manager who thrives in complex, fast-moving environments and is energized by building structure where it doesn't yet exist. In this role, you will lead cross-functional HR initiatives that improve operational effectiveness, enhance employee experience, and advance the strategic priorities of the HR Enterprise organization. You will operate as a central connector - planning, coordinating, and governing multi-team projects while fostering accountability and clarity across stakeholders who do not report directly to you. This role requires strong judgement, comfort navigating ambiguity, and the ability to translate strategy into execution across multiple HR disciplines. We'll trust you to: Drive planning, execution, and governance for initiatives that span multiple HR functions, including enterprise process improvements, cyclical programs, system enhancements, and policy-related operational work Coordinate across GPS, Employee Relations, Benefits, Position Management, Immigration, HR Tech, and CoEs to ensure alignment, clear decision making and shared ownership Define project scope, goals, timelines, and deliverables in partnership with HR leaders and subject-matter experts Develop detailed project plans and ensure resources are allocated in line with priorities Support change-management and communication efforts to ensure smooth adoption of new processes, tools, and ways of working Analyze outcomes and key metrics to evaluate effectiveness and identify opportunities to streamline or scale Champion operational excellence by modeling consistent, repeatable project methodologies You'll need to have 8+ years of project management experience, with demonstrated success leading enterprise-wide or cross-functional initiatives Project management practitioner certification (e.g., PMP, PRINCE2, Agile/Scrum Master) or equivalent practical experience Strong communication, facilitation, and relationship-building skills, with the ability to influence without authority and navigate competing priorities Proven analytical and quantitative capabilities - using data to inform decisions, evaluate outcomes, and support recommendations Experience managing multiple concurrent workstreams across technical and business teams Comfort operating with autonomy, managing ambiguity, and adapting to shifting priorities Excellent organizational skills and sharp attention to detail A problem-solver's mindset and a drive for clarity, efficiency, and continuous improvement We'd love to see: Knowledge of HR processes, systems, or employee experience programs Experience working with or coordinating across centers of excellence and HR operations groups Familiarity with large-scale technical implementations or HR technology ecosystems Proficiency with project management methodologies and tools (e.g., Smartsheet, MS Project, Jira, Asana) A flexible, calm, and positive presence under pressure Ability to quickly understand stakeholder needs and organizational context 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 is seeking an experienced Project Manager to lead HR initiatives across multiple functions. The ideal candidate will have over 8 years of project management experience and a strong background in driving cross-functional projects. Responsibilities include coordinating initiatives, defining project scope, and fostering stakeholder engagement. This role demands excellent communication and problem-solving skills, along with the ability to thrive in a fast-paced, dynamic environment. Join us to make a significant impact on our HR strategies.

Product Security Engineer - Software Security Enablement Location London Business Area Legal, Compliance, and Risk Ref # Description & Requirements Our Team: Bloomberg is building the world's most trusted information network for financial professionals. We protect Bloomberg. We partner with internal departments to ensure the confidentiality, integrity, and availability of Bloomberg systems and the data we process. We aim to ensure that our clients see us as a trusted partner. Our Chief Information Security Office (CISO) owns the technical aspects of this mission by ensuring Bloomberg products, systems, networks and commercial applications are built and maintained with security in mind. What's the role? We are seeking a Product Security Engineer to help ensure that Bloomberg software is built securely. You will be responsible for building and maintaining automated security capabilities across the software development lifecycle. You will also engage with engineering partners to provide remediation guidance and enhance security testing to deliver high-fidelity, actionable results. As a member of the Product Security Enablement team, you will help provide automated security testing solutions for Bloomberg, including SAST, DAST, SCA, Secret searching and LLM-based assessments. Our team's goal is to create preventative security capabilities that integrate into development pipelines and help detect issues early in the software development lifecycle. An engineering skillset is required for this role. You will be responsible for prototyping new tools, integrating security testing tools and capabilities into the software development lifecycle, and developing custom security capabilities to deliver scalable testing solutions to our engineering teams. This role will routinely challenge your technical background and critical thinking. You will be expected to collaborate with different stakeholders in a fast-paced environment across many technology stacks and services. We'll trust you to: Partner with engineering stakeholders to understand Bloomberg's development landscape and security needs. Develop automated security solutions that integrate into development pipelines. Maintain and enhance existing security automation processes and security capabilities. Understand and research technical details of core technology stacks and develop or enhance custom code analysis queries. Communicate vulnerability landscape and work on mitigations with stakeholders across the business. Actively monitor the latest news and trends in automated security capabilities, secure development, and AI-assisted security workflows. Develop and enhance operational runbooks. Perform ad-hoc vulnerability discovery, including code review and static analysis for key engineering teams, applications and services. Build or adopt new security capabilities to address issues at scale, such as Software Composition Analysis, Secret searching, and other automated security testing techniques. Use LLMs and AI-assisted workflows as part of security assessments, vulnerability research, secure code review, developer enablement, and security automation. Explore, evaluate, and build automation using modern LLM tooling and integration patterns, including custom skills, MCP servers, agentic workflows, retrieval-augmented workflows, and integrations with development and security tooling. You'll need to have: A strong core engineering background with a proven track record. 3+ years of experience in software development. Strong programming experience, with working knowledge of at least one of: C/C++, Python, JavaScript/TypeScript. Knowledge and experience with DevOps and software used in development pipelines (e.g. Github, Jenkins). Working knowledge of build systems, package managers, and development tooling (such as cmake, npm, maven, gradle etc). A core understanding of common security vulnerabilities, such as OWASP Top 10 issues and language-specific vulnerabilities. Experience using, evaluating, or building with LLMs or AI-assisted tooling in technical workflows. Ability to combine technical knowledge with an understanding of core aspects of an information security program. Motivation to keep up with latest trends and techniques in the information security community. Excellent written and verbal communication skills. We'd love to see (not required, but nice to have!): Experience or familiarity with running, maintaining, and customizing static analysis security testing tools such as CodeQL and Semgrep. Broad familiarity with programming language ecosystems and frameworks, particularly C++, JavaScript/TypeScript, Python, Java as well as well as modern systems and infrastructure languages such as Go and Rust Experience using LLMs or AI-assisted tools for security assessments, vulnerability research, secure code review, developer enablement, or security automation. Familiarity with LLM automation concepts and tooling, such as custom skills, MCP servers, agentic workflows, retrieval-augmented workflows, or integrations with development and security tooling. Knowledge of open source software component management, Software Composition Analysis, and related security tools. Knowledge of core concepts in public cloud providers such as AWS, GCP, and Azure. Familiarity with container orchestration technologies such as Kubernetes and Docker, and cloud deployment orchestration. Technical information security certifications, such as CISSP, CSSLP, or SANS certifications. Prior experience integrating security testing into DevOps pipelines. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. 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

Bloomberg L.P. is seeking a Product Security Engineer to ensure software security by developing automated security capabilities throughout the software development lifecycle. The role requires a strong engineering background, programming skills in C/C++, Python, or JavaScript/TypeScript, and knowledge of DevOps technologies. Successful candidates will collaborate with engineering teams, enhance existing security processes, and stay updated on security trends. Bloomberg fosters a diverse and inclusive workplace.

Technical Product Manager - Data Manufacturing Infrastructure Location London Business Area Data Ref # Description & Requirements Bloomberg runs on data. In Data, we are transforming how that data is manufactured, observed, validated, and prepared for use by clients, internal systems, and AI-driven products. Our data manufacturing infrastructure supports the pipelines that move content from acquisition through classification, validation, enrichment, modeling, and publication. As those workflows become more automated and AI-enabled, we need infrastructure that is observable, measurable, resilient, and designed for continuous improvement. Data Management & Operations (DMO) is looking for a Technical Product Manager to help shape the next generation of data manufacturing infrastructure. This role will partner closely with DMO, partner Engineering Infrastructure, AI, and domain teams to define a product roadmap for infrastructure capabilities that support automation, observability, process analysis, semantic data readiness, and scalable production workflows. This is not a traditional project management role. You will apply product discipline to infrastructure: translating complex methodological, operational, and Engineering needs into a clear and articulate roadmap; helping teams make explicit tradeoffs; and ensuring that infrastructure design decisions support the long-term strategy for data manufacturing optimization and automation. We'll trust you to: Define and maintain the product roadmap for data manufacturing infrastructure in partnership with DMO and Engineering leadership, ensuring priorities are clear, defensible, and aligned to Data's goals and strategy. Prioritize needs across multiple stakeholders to construct a coherent backlog that reduces complexity and achieves focus. Balance competing infrastructure needs, including observability, pipeline analysis, and technical migrations. Possess a robust knowledge of data manufacturing approaches across Data, and develop strategies that improve adoption while respecting Engineering architecture and operational constraints. Evaluate where agentic and LLM-based approaches add value in the data manufacturing pipeline, and where deterministic microservices, rules engines, APIs, or other traditional implementations remain the better solution. Partner with Engineering on new pipeline components to ensure added intelligence does not reduce observability, diagnosability, maintainability, or operational resilience. Maintain a clear view of technological trends and evaluate open source or third party software that may support the data manufacturing process. Help ensure the observability platform evolves beyond technical event monitoring into an operational intelligence layer that supports analysis, experimentation, simulation, and continuous improvement. Develop a structured interface between Engineering and internal stakeholders, structuring conversations to be well-scoped, technically grounded, and actionable. Shape inbound demand to Engineering, helping stakeholders articulate needs in a way that is complete, prioritized, and consistent with the platform direction. Communicate the Engineering roadmap and platform capabilities to DMO, AI, and domain teams so they can plan their own work with greater confidence. Drive incremental, reversible delivery. You will help define maintainability criteria, release gates, and post-incident learning loops so that edge cases and failures are fed back into product requirements. 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. 8+ years of experience, including substantial experience in technical product management for infrastructure, platform, data pipeline, or production-scale systems. Experience building product management practice in environments where it did not previously exist, including earning credibility with senior engineers before exercising influence. Technical fluency across microservices architecture, distributed systems, APIs, data pipelines, and platform design. Experience translating ambiguous business, operational, or analytical needs into clear product requirements and Engineering-ready specifications. Experience defining observability, telemetry, or operational intelligence requirements as part of product design, not only as post-deployment monitoring. Strong judgment about when to use AI, LLM, or agentic approaches and when simpler deterministic designs are more appropriate. Strong written communication skills, including the ability to produce clear product requirements, decision memos, roadmap narratives, and senior leadership updates. Proven ability to lead through influence across cross functional or matrixed teams where formal authority is limited or absent. A track record of building trust with technical teams through partnership, clarity, and disciplined prioritization. We'd love to see: Experience with data platforms, ETL/ELT systems, data contracts, schema governance, data quality tooling, metadata management, or lineage platforms. Familiarity with process analytics, statistical process control, workflow simulation, experimentation, or other methods used to evaluate operational systems. Experience defining infrastructure or data product requirements for AI and LLM consumption, including structured and unstructured content workflows. Exposure to data observability tools, lineage systems, or operational monitoring platforms, including a point of view on where these tools succeed and where they fall short. Experience working with semantic models, knowledge graphs, entity resolution, metadata governance, or AI ready data initiatives. Academic or professional background in computer science, data engineering, statistics, economics, operations research, or a related technical discipline. You'll be successful in this role if you: Improve the velocity and variety of content that is ingested by Data and converted into robust data products. Improve the Data's ability to adopt relevant, emerging technologies, as well as pivot to new or differently structured data products. Build credibility with engineering by demonstrating technical depth, judgment, and respect for architectural ownership. Help DMO, Engineering, AI, and domain teams converge on a shared roadmap for data manufacturing infrastructure. Turn observability and instrumentation from a monitoring function into a product capability that supports better decisions. Make infrastructure priorities more visible, adoption paths clearer, and tradeoffs easier for senior stakeholders to understand. Improve the organization's ability to evaluate automation opportunities empirically rather than relying on intuition, one-off analyses, or disconnected tooling. Does this sound like you? 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

Senior Software Engineer - Index Data EU Location: London Business Area: Engineering and CTO Ref #: Description & Requirements We power some of the most widely recognized indices in the world - billions of dollars are benchmarked against what we build. We're now expanding into the Equity Index market, and the Index Data team is at the centre of that growth. Come and help us build it. Our Bloomberg Index Data team owns its domain end-to-end - building data pipelines, APIs, validation tooling and operational UIs spanning Equities, Commodities, FX, Rates, Futures, Options, Swaps and Crypto. We partner closely with Product and Operations to shape what gets built, not just how. We're scaling fast, the problems are genuinely complex, and there's real architectural influence up for grabs. We're looking for a senior engineer who loves solving real business problems with code. Someone who digs into the business context - understanding why something matters before deciding how to build it - then owns the design and delivery end-to-end. You'll work across team boundaries, translate financial methodologies into clean domain models in C#/.NET, and help evolve a platform that's growing in scope and sophistication every month. You'll need to have: Strong object-oriented design skills and experience building scalable backend systems, with a track record of owning and delivering complex initiatives across team boundaries A problem-solving mindset - you start from the outcome, design a solution, and iterate The ability to operate effectively in ambiguous, evolving problem spaces and deliver incrementally Strong communication skills and confidence working with Product and Operations stakeholders to understand their needs and shape solutions together Experience in financial markets is strongly preferred; specific index knowledge is not required We'd love to see: Experience architecting distributed systems using messaging technologies Strong data modelling experience and familiarity with SQL-based systems Proficiency with performance profiling and refactoring for order-of-magnitude gains Experience mentoring engineers and raising technical standards across a team Knowledge of C#/.NET is great but not necessary - we have experience onboarding Java and C++ developers for example Frontend experience is welcome but not required - engagement with workflow and usability discussions is valued regardless of hands-on UI coding If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. 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