The Trade Automation & Execution group builds the platforms and services that power modern electronic trading at Bloomberg. We design and operate high-performance, distributed, real-time systems used by financial institutions worldwide to execute trades, automate workflows, and make data-driven decisions. Our work spans execution management, trading automation, connectivity, and analytics-supporting millions of transactions daily and integrating with thousands of market destinations. As markets evolve toward automation, scale, and intelligence, we're re-architecting our systems to deliver the next generation of fast, reliable, cloud-ready trading technology. What We're Looking For We have several positions across multiple teams and we're seeking both experienced backend and full stack engineers, with strong C++ skills. Additional TypeScript experience is appreciated for our full stack positions. You'll have the opportunity to drive design discussions and collaborate closely with engineering and product partners to deliver exceptional results. If you're passionate about building platforms and solving real-time data challenges then we'd love to hear from you! What's In It for You? Build high-performance, highly reliable distributed systems that enable sophisticated trading workflows Lead some of our most impactful and exciting initiatives Collaborate across teams and organizations to deliver cutting-edge solutions Play a central role in shaping the future of our trading data platforms You'll Need To Have Demonstrated experience building enterprise applications in C++ or Java Experience designing and maintaining large scale distributed systems A proven track record of leading projects from design through implementation, testing, and release A practical approach to balancing performance, reliability, and developer experience Experience with distributed architectures and high-throughput messaging Background in building scalable platforms 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 podcast series for an inside look at our culture, values, and the people behind our success.
07/05/2026
Full time
The Trade Automation & Execution group builds the platforms and services that power modern electronic trading at Bloomberg. We design and operate high-performance, distributed, real-time systems used by financial institutions worldwide to execute trades, automate workflows, and make data-driven decisions. Our work spans execution management, trading automation, connectivity, and analytics-supporting millions of transactions daily and integrating with thousands of market destinations. As markets evolve toward automation, scale, and intelligence, we're re-architecting our systems to deliver the next generation of fast, reliable, cloud-ready trading technology. What We're Looking For We have several positions across multiple teams and we're seeking both experienced backend and full stack engineers, with strong C++ skills. Additional TypeScript experience is appreciated for our full stack positions. You'll have the opportunity to drive design discussions and collaborate closely with engineering and product partners to deliver exceptional results. If you're passionate about building platforms and solving real-time data challenges then we'd love to hear from you! What's In It for You? Build high-performance, highly reliable distributed systems that enable sophisticated trading workflows Lead some of our most impactful and exciting initiatives Collaborate across teams and organizations to deliver cutting-edge solutions Play a central role in shaping the future of our trading data platforms You'll Need To Have Demonstrated experience building enterprise applications in C++ or Java Experience designing and maintaining large scale distributed systems A proven track record of leading projects from design through implementation, testing, and release A practical approach to balancing performance, reliability, and developer experience Experience with distributed architectures and high-throughput messaging Background in building scalable platforms 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 podcast series for an inside look at our culture, values, and the people behind our success.
A leading financial technology company in Greater London is seeking experienced backend and full stack engineers with strong C++ skills. Candidates will develop high-performance distributed systems enabling sophisticated trading workflows and lead exciting initiatives. The ideal applicant will have both C++ or Java experience and a proven track record in building scalable platforms. Join a collaborative environment to shape the future of trading data platforms and drive impactful solutions.
07/05/2026
Full time
A leading financial technology company in Greater London is seeking experienced backend and full stack engineers with strong C++ skills. Candidates will develop high-performance distributed systems enabling sophisticated trading workflows and lead exciting initiatives. The ideal applicant will have both C++ or Java experience and a proven track record in building scalable platforms. Join a collaborative environment to shape the future of trading data platforms and drive impactful solutions.
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 the Data department, 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 implement technology solutions to enhance our systems, products, and processes - all while providing platinum customer support to our clients. The Team At Bloomberg, our team is responsible for onboarding our junior data engineers, as well as providing learning opportunities to develop the skills of our nearly 2,000 Data employees. We collaborate with all teams across Data to ensure that we deliver the highest quality educational development. We also roll up our sleeves to create our own training and applied exercises. You can support our purpose by preparing Data teams with the confidence to apply AI tools into data processing workflows responsibly and effectively. The work we accomplish will contribute to AI products used by external Bloomberg clients. We strive to make our curriculum exciting for both trainers and trainees; we use interactive technology, peer learning, and a highly collaborative team culture to ensure success for everyone. We encourage participation and provide opportunities for trainees to learn from each other and the professionals within Data. We'll Trust You To: Design and deliver training that enables teams to evaluate process changes - such as adopting new data pipelines, switching validation methods, or implementing AI assisted workflows - and quantify their impact on dataset quality and business outcomes. Create hands on labs where teams design experiments on real Bloomberg datasets-testing pipeline changes, evaluating new tools, and measuring quality improvements. Explain core statistical concepts (sampling, correlation, causation, p values) and AI/ML fundamentals (prompt engineering, model validation) in the context of data quality and process optimization. Incorporate AI assisted tools (e.g., GitHub Copilot, ChatGPT, NotebookLM) into training design and delivery. Ensure teams maintain the highest standards for data quality, observability, and governance, alongside the implementation of transformative AI technologies. Partner with engineers and domain experts to ensure we're meeting client needs and leveraging the best technology solutions. Develop self service materials that enable teams to independently design experiments and adopt new tools. Stay current with emerging experimentation methods, AI tools, and financial market dynamics-continuously refining curricula to meet evolving Data organization needs and business priorities. Commitment to cultivating a continuous learning culture across technical teams. You'll Need To Have: 3+ years applied experience in applied AI solutions. Bachelor's degree or higher in Computer Science, Engineering, Data Science, or other data related field. Experience mentoring or teaching technical material, with a passion for continuous learning and knowledge sharing. Ability to translate technical concepts into clear learning content and documentation. Strong communication and teaching abilities- a proven track record explaining complex quantitative concepts to both technical and non technical audiences through clear examples and hands on exercises. Ability to identify learning needs through stakeholder consultation and translate them into scalable, practical training solutions. Understanding of data quality metrics (accuracy, completeness, timeliness) and concepts (data observability, governance) and how to assess them through statistical methods. Proven problem solving skills and adaptability in evolving, fast paced environments. Collaborative approach to partnering across global teams and aligning with business priorities. Effective project management skills to develop and manage a roadmap and deliver milestones in a timely manner. Ability to flexibly adapt to a changing environment. Interest in financial market datasets and their application to data and AI solutions. Familiarity with modern data tools and frameworks (e.g., Airflow, Dagster, dbt, Spark, cloud data platforms). Certification in DAMA CDMP, EDM DCAM or similar. Examples of technical content you've created-whether documentation, tutorials, presentations, or internal training materials. Hands on experience with financial data, market data, or other business critical datasets. Does this sound like you? We're looking for individuals who are passionate about data, education, and continuous improvement. If you meet the qualifications above and want to make an impact, we encourage you to apply.
07/05/2026
Full time
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 the Data department, 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 implement technology solutions to enhance our systems, products, and processes - all while providing platinum customer support to our clients. The Team At Bloomberg, our team is responsible for onboarding our junior data engineers, as well as providing learning opportunities to develop the skills of our nearly 2,000 Data employees. We collaborate with all teams across Data to ensure that we deliver the highest quality educational development. We also roll up our sleeves to create our own training and applied exercises. You can support our purpose by preparing Data teams with the confidence to apply AI tools into data processing workflows responsibly and effectively. The work we accomplish will contribute to AI products used by external Bloomberg clients. We strive to make our curriculum exciting for both trainers and trainees; we use interactive technology, peer learning, and a highly collaborative team culture to ensure success for everyone. We encourage participation and provide opportunities for trainees to learn from each other and the professionals within Data. We'll Trust You To: Design and deliver training that enables teams to evaluate process changes - such as adopting new data pipelines, switching validation methods, or implementing AI assisted workflows - and quantify their impact on dataset quality and business outcomes. Create hands on labs where teams design experiments on real Bloomberg datasets-testing pipeline changes, evaluating new tools, and measuring quality improvements. Explain core statistical concepts (sampling, correlation, causation, p values) and AI/ML fundamentals (prompt engineering, model validation) in the context of data quality and process optimization. Incorporate AI assisted tools (e.g., GitHub Copilot, ChatGPT, NotebookLM) into training design and delivery. Ensure teams maintain the highest standards for data quality, observability, and governance, alongside the implementation of transformative AI technologies. Partner with engineers and domain experts to ensure we're meeting client needs and leveraging the best technology solutions. Develop self service materials that enable teams to independently design experiments and adopt new tools. Stay current with emerging experimentation methods, AI tools, and financial market dynamics-continuously refining curricula to meet evolving Data organization needs and business priorities. Commitment to cultivating a continuous learning culture across technical teams. You'll Need To Have: 3+ years applied experience in applied AI solutions. Bachelor's degree or higher in Computer Science, Engineering, Data Science, or other data related field. Experience mentoring or teaching technical material, with a passion for continuous learning and knowledge sharing. Ability to translate technical concepts into clear learning content and documentation. Strong communication and teaching abilities- a proven track record explaining complex quantitative concepts to both technical and non technical audiences through clear examples and hands on exercises. Ability to identify learning needs through stakeholder consultation and translate them into scalable, practical training solutions. Understanding of data quality metrics (accuracy, completeness, timeliness) and concepts (data observability, governance) and how to assess them through statistical methods. Proven problem solving skills and adaptability in evolving, fast paced environments. Collaborative approach to partnering across global teams and aligning with business priorities. Effective project management skills to develop and manage a roadmap and deliver milestones in a timely manner. Ability to flexibly adapt to a changing environment. Interest in financial market datasets and their application to data and AI solutions. Familiarity with modern data tools and frameworks (e.g., Airflow, Dagster, dbt, Spark, cloud data platforms). Certification in DAMA CDMP, EDM DCAM or similar. Examples of technical content you've created-whether documentation, tutorials, presentations, or internal training materials. Hands on experience with financial data, market data, or other business critical datasets. Does this sound like you? We're looking for individuals who are passionate about data, education, and continuous improvement. If you meet the qualifications above and want to make an impact, we encourage you to apply.
Bloomberg is hiring a Senior Software Engineer in London to work on their real-time data platform. The role focuses on engineering reliability through software, designing scalable and fault-tolerant systems. Candidates should have experience with object-oriented programming (preferably Python or C++) and strong skills in distributed systems and automation. This position provides the opportunity to solve complex problems that have a significant real-world impact and work collaboratively across teams globally.
07/05/2026
Full time
Bloomberg is hiring a Senior Software Engineer in London to work on their real-time data platform. The role focuses on engineering reliability through software, designing scalable and fault-tolerant systems. Candidates should have experience with object-oriented programming (preferably Python or C++) and strong skills in distributed systems and automation. This position provides the opportunity to solve complex problems that have a significant real-world impact and work collaboratively across teams globally.
Senior Software Engineer / Reliability Engineering - Real-time Data Location London Business Area Engineering and CTO Ref # Description & Requirements Our department is responsible for efficiently distributing financial data from its source to interested users all around the world. This includes (for example) stock prices or foreign exchange rates. Data can either be served in response to a request or streamed in real time. The group owns: The distribution software and infrastructure A range of different sources of data Supporting services to administer and manage the system, including permissioning and metering The team is also responsible for the Enterprise endpoint ("B-PIPE"), which allows end-users to programmatically consume data via our SDK. Data is also available through the Bloomberg Terminal and Microsoft Excel. The main challenge faced by the group is one of scale. Data is sourced from more than 370 global exchanges, with a combined volume in excess of 60 billion messages each day. We deliver this data to hundreds of thousands of terminals and thousands of B-PIPEs. Handling this volume requires significant infrastructure, we manage multiple clusters in our main data centres, as well as a network of many thousands of servers around the world. Group Overview The RD Reliability Engineering group comprises three sub-teams located in Tokyo, London, and New York, providing follow-the-sun support. Our mission is to ensure systems are reliable, scalable, and observable through software engineering, while continuously improving how systems behave under load and failure conditions. We work in an outcome-driven model, focusing on measurable improvements in availability, latency, capacity, and recovery. Our goal is to ensure systems meet defined service level objectives while minimising manual operational effort through automation and software solutions. The systems we support must behave predictably under extreme load, recover quickly from failures, and continue to evolve without compromising stability - these are the core challenges we solve. London Team Focus - Availability & Resiliency The London team plays a key role in ensuring the availability and resiliency of RD infrastructure globally. We focus on: Detecting and preventing failures across large-scale distributed systems Ensuring infrastructure demonstrates sufficient capacity and failover capability during site-loss scenarios Reducing time to detect, diagnose, and recover from incidents Ensuring systems behave predictably under both normal and adverse conditions What You'll Do Build and maintain production-grade software supporting Bloomberg's global distribution infrastructure Design and implement scalable, fault-tolerant systems with a focus on observability, performance, and automation Analyse system behaviour under real-world and failure scenarios to validate capacity, failover, and recovery meet resilience objectives Identify bottlenecks, scaling limits, and reliability risks across distributed systems Improve detection, diagnosis, and prevention of production issues Build tools and frameworks to increase system visibility and reduce time to detect and resolve incidents Automate operational workflows to reduce manual effort and improve system reliability Partner with application and infrastructure teams to improve system design, resilience, and performance Contribute to design discussions, incident reviews, and reliability improvements across the platform Systems You'll Work With Configuration systems serving thousands of servers across the global network Service discovery and clustering systems for distributed infrastructure Monitoring and observability frameworks for large-scale server estates Tooling for diagnosing data quality and distribution issues Ownership of systems may evolve over time as the team focuses on areas of highest impact. What Success Looks Like Systems consistently meet defined reliability, latency, and capacity objectives Issues are detected and mitigated before significant customer impact Systems are demonstrably resilient, with proven failover capability and sufficient capacity under failure conditions Operational processes are automated and scalable Reliability is achieved through engineering improvements rather than manual intervention What We're Looking For We're not a traditional SRE team. We engineer reliability through software, building solutions that automate operations and improve system resilience by design. Experience with an object oriented programming language (preferably Python or C++) Strong focus on building reliable, observable distributed systems Experience working with SLOs, SLIs, and production reliability metrics Proven ability to triage and resolve live production problems A mindset focused on automation and reducing operational toil A strength in collaborating within an inclusive team environment The ability to work across departments and build strong relationships with both technical and non technical partners Why Join Us You'll work on systems that sit at the core of Bloomberg's real time data platform, operating at global scale and under demanding performance and reliability requirements. This is an opportunity to: Solve complex distributed systems problems with real world impact Influence how reliability is engineered across a critical platform Work with teams across multiple regions and technical domains Build systems that are resilient by design and operate at massive scale
07/05/2026
Full time
Senior Software Engineer / Reliability Engineering - Real-time Data Location London Business Area Engineering and CTO Ref # Description & Requirements Our department is responsible for efficiently distributing financial data from its source to interested users all around the world. This includes (for example) stock prices or foreign exchange rates. Data can either be served in response to a request or streamed in real time. The group owns: The distribution software and infrastructure A range of different sources of data Supporting services to administer and manage the system, including permissioning and metering The team is also responsible for the Enterprise endpoint ("B-PIPE"), which allows end-users to programmatically consume data via our SDK. Data is also available through the Bloomberg Terminal and Microsoft Excel. The main challenge faced by the group is one of scale. Data is sourced from more than 370 global exchanges, with a combined volume in excess of 60 billion messages each day. We deliver this data to hundreds of thousands of terminals and thousands of B-PIPEs. Handling this volume requires significant infrastructure, we manage multiple clusters in our main data centres, as well as a network of many thousands of servers around the world. Group Overview The RD Reliability Engineering group comprises three sub-teams located in Tokyo, London, and New York, providing follow-the-sun support. Our mission is to ensure systems are reliable, scalable, and observable through software engineering, while continuously improving how systems behave under load and failure conditions. We work in an outcome-driven model, focusing on measurable improvements in availability, latency, capacity, and recovery. Our goal is to ensure systems meet defined service level objectives while minimising manual operational effort through automation and software solutions. The systems we support must behave predictably under extreme load, recover quickly from failures, and continue to evolve without compromising stability - these are the core challenges we solve. London Team Focus - Availability & Resiliency The London team plays a key role in ensuring the availability and resiliency of RD infrastructure globally. We focus on: Detecting and preventing failures across large-scale distributed systems Ensuring infrastructure demonstrates sufficient capacity and failover capability during site-loss scenarios Reducing time to detect, diagnose, and recover from incidents Ensuring systems behave predictably under both normal and adverse conditions What You'll Do Build and maintain production-grade software supporting Bloomberg's global distribution infrastructure Design and implement scalable, fault-tolerant systems with a focus on observability, performance, and automation Analyse system behaviour under real-world and failure scenarios to validate capacity, failover, and recovery meet resilience objectives Identify bottlenecks, scaling limits, and reliability risks across distributed systems Improve detection, diagnosis, and prevention of production issues Build tools and frameworks to increase system visibility and reduce time to detect and resolve incidents Automate operational workflows to reduce manual effort and improve system reliability Partner with application and infrastructure teams to improve system design, resilience, and performance Contribute to design discussions, incident reviews, and reliability improvements across the platform Systems You'll Work With Configuration systems serving thousands of servers across the global network Service discovery and clustering systems for distributed infrastructure Monitoring and observability frameworks for large-scale server estates Tooling for diagnosing data quality and distribution issues Ownership of systems may evolve over time as the team focuses on areas of highest impact. What Success Looks Like Systems consistently meet defined reliability, latency, and capacity objectives Issues are detected and mitigated before significant customer impact Systems are demonstrably resilient, with proven failover capability and sufficient capacity under failure conditions Operational processes are automated and scalable Reliability is achieved through engineering improvements rather than manual intervention What We're Looking For We're not a traditional SRE team. We engineer reliability through software, building solutions that automate operations and improve system resilience by design. Experience with an object oriented programming language (preferably Python or C++) Strong focus on building reliable, observable distributed systems Experience working with SLOs, SLIs, and production reliability metrics Proven ability to triage and resolve live production problems A mindset focused on automation and reducing operational toil A strength in collaborating within an inclusive team environment The ability to work across departments and build strong relationships with both technical and non technical partners Why Join Us You'll work on systems that sit at the core of Bloomberg's real time data platform, operating at global scale and under demanding performance and reliability requirements. This is an opportunity to: Solve complex distributed systems problems with real world impact Influence how reliability is engineered across a critical platform Work with teams across multiple regions and technical domains Build systems that are resilient by design and operate at massive scale
Senior Software Engineer - Storage & Compute Stability Location London Business Area Engineering and CTO Ref # Description & Requirements About the Team The Storage and Compute Stability Team is a trusted partner in ensuring the reliability, performance, and security of Bloomberg's cloud storage and compute infrastructure. We operate at the intersection of infrastructure, software, and services, proactively identifying, solving, and preventing issues before they impact our users. Our focus is on streamlining processes, driving automation, and serving as a bridge between product teams and stakeholders. This enables Bloomberg's engineers to innovate rapidly, while maintaining stability at scale. We follow agile practices and thrive in a collaborative environment where code reviews, design discussions, and brainstorming are part of our daily rhythm. The team is driven by curiosity, creativity, and a shared passion for building efficient, resilient systems. What You'll Do Ensure system reliability and performance by monitoring, troubleshooting, and optimizing compute and storage services. Proactively identify issues and trends to prevent outages, reduce mean time to recovery (MTTR), and improve overall service availability. Collaborate with product owners, developers, and infrastructure teams to deliver scalable, long-term solutions. Automate operational processes such as deployments, monitoring, maintenance, and capacity management. Develop and maintain runbooks, reproducers, and documentation to support knowledge sharing and workflow efficiency. Participate in on call rotations to support critical infrastructure and respond to incidents. Contribute to infrastructure lifecycle management, including capacity forecasting, proactive refresh planning, and upgrades. Continuously explore opportunities to improve team processes and system stability. What We Value Our work is guided by key principles that define how we operate: Expertise - We invest in deep technical knowledge to solve complex infrastructure challenges. Proactivity - We anticipate issues before they occur and design systems to withstand failure. Collaboration - We build strong relationships with product teams and stakeholders to deliver end to end solutions. Efficiency - We reduce manual work through thoughtful automation and streamlined processes. Documentation - We believe in capturing and sharing knowledge to make systems transparent and maintainable. What Makes You Successful Strong communication and collaboration skills; able to explain technical concepts to diverse audiences. Self motivated and autonomous; you take ownership of problems and drive them to resolution. Passion for continuous learning and working across a broad spectrum of systems and technologies. Comfortable working in an agile environment, participating in daily stand ups, sprint planning, and code reviews. Curious, adaptable, and eager to work across the entire infrastructure stack. Skills & Experience Required Proficiency in programming and scripting. Experience with monitoring, logging, and observability tools. Understanding of containers and orchestration technologies. Solid knowledge of networking, operating systems, and distributed systems concepts. Experience participating in incident response and on call support for production systems. Nice to Have Familiarity with cloud platforms (Ceph or OpenStack) and related compute/storage services. Experience with infrastructure as code tools (e.g., Terraform, Ansible). Why Join Us? This isn't just another operations role you'll be embedded at the core of Bloomberg's infrastructure. Our team spans infrastructure, software, and services, supporting both short term needs and long term strategic investments. You'll have the opportunity to: Work on critical infrastructure and help define how it evolves. Take on meaningful projects that balance immediate impact with sustainable improvements. Join a culture that values innovation, automation, and continuous improvement. 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 podcast series for an inside look at our culture, values, and the people behind our success.
05/05/2026
Full time
Senior Software Engineer - Storage & Compute Stability Location London Business Area Engineering and CTO Ref # Description & Requirements About the Team The Storage and Compute Stability Team is a trusted partner in ensuring the reliability, performance, and security of Bloomberg's cloud storage and compute infrastructure. We operate at the intersection of infrastructure, software, and services, proactively identifying, solving, and preventing issues before they impact our users. Our focus is on streamlining processes, driving automation, and serving as a bridge between product teams and stakeholders. This enables Bloomberg's engineers to innovate rapidly, while maintaining stability at scale. We follow agile practices and thrive in a collaborative environment where code reviews, design discussions, and brainstorming are part of our daily rhythm. The team is driven by curiosity, creativity, and a shared passion for building efficient, resilient systems. What You'll Do Ensure system reliability and performance by monitoring, troubleshooting, and optimizing compute and storage services. Proactively identify issues and trends to prevent outages, reduce mean time to recovery (MTTR), and improve overall service availability. Collaborate with product owners, developers, and infrastructure teams to deliver scalable, long-term solutions. Automate operational processes such as deployments, monitoring, maintenance, and capacity management. Develop and maintain runbooks, reproducers, and documentation to support knowledge sharing and workflow efficiency. Participate in on call rotations to support critical infrastructure and respond to incidents. Contribute to infrastructure lifecycle management, including capacity forecasting, proactive refresh planning, and upgrades. Continuously explore opportunities to improve team processes and system stability. What We Value Our work is guided by key principles that define how we operate: Expertise - We invest in deep technical knowledge to solve complex infrastructure challenges. Proactivity - We anticipate issues before they occur and design systems to withstand failure. Collaboration - We build strong relationships with product teams and stakeholders to deliver end to end solutions. Efficiency - We reduce manual work through thoughtful automation and streamlined processes. Documentation - We believe in capturing and sharing knowledge to make systems transparent and maintainable. What Makes You Successful Strong communication and collaboration skills; able to explain technical concepts to diverse audiences. Self motivated and autonomous; you take ownership of problems and drive them to resolution. Passion for continuous learning and working across a broad spectrum of systems and technologies. Comfortable working in an agile environment, participating in daily stand ups, sprint planning, and code reviews. Curious, adaptable, and eager to work across the entire infrastructure stack. Skills & Experience Required Proficiency in programming and scripting. Experience with monitoring, logging, and observability tools. Understanding of containers and orchestration technologies. Solid knowledge of networking, operating systems, and distributed systems concepts. Experience participating in incident response and on call support for production systems. Nice to Have Familiarity with cloud platforms (Ceph or OpenStack) and related compute/storage services. Experience with infrastructure as code tools (e.g., Terraform, Ansible). Why Join Us? This isn't just another operations role you'll be embedded at the core of Bloomberg's infrastructure. Our team spans infrastructure, software, and services, supporting both short term needs and long term strategic investments. You'll have the opportunity to: Work on critical infrastructure and help define how it evolves. Take on meaningful projects that balance immediate impact with sustainable improvements. Join a culture that values innovation, automation, and continuous improvement. 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 podcast series for an inside look at our culture, values, and the people behind our success.
A leading financial data and analytics firm in London is seeking a Senior Software Engineer to ensure reliability in cloud storage and compute infrastructure. The role involves monitoring and optimizing services, collaborating with teams to develop solutions, and driving automation. Ideal candidates have strong programming skills, experience with monitoring tools, and a passion for continuous learning in a collaborative environment. This position offers opportunities to work on critical infrastructure and contribute to impactful projects.
05/05/2026
Full time
A leading financial data and analytics firm in London is seeking a Senior Software Engineer to ensure reliability in cloud storage and compute infrastructure. The role involves monitoring and optimizing services, collaborating with teams to develop solutions, and driving automation. Ideal candidates have strong programming skills, experience with monitoring tools, and a passion for continuous learning in a collaborative environment. This position offers opportunities to work on critical infrastructure and contribute to impactful projects.
Senior Software Engineer / SRE - Electronic Trading Location London Business Area Engineering and CTO Ref # Description & Requirements About Observability Engineering Senior Software Engineers - SRE in Electronic Trading (ET) ensure our global enterprise products spanning fixed income, equities, and derivatives are resilient and observable. This role focuses on building culture and platforms of observability and resilience to prevent market disruptions for global traders. We specialize in proactive anomaly detection, providing advanced performance insights and best practice guidance. Our team collaborates with application developers to define meaningful SLOs, implement chaos engineering, and build diagnostic tools that mitigate architectural risks as our platforms scale. What's in it for you? You will have the autonomy to drive reliability initiatives end to end, influencing the reliability strategy for critical global trading systems. By championing modern SRE practices and automation, you will fundamentally transform how we manage system stability. In your day to day, you'll develop frameworks for tracking reliability metrics, collaborate on system health reports, and build libraries that standardize alerting and incident response. You will also use failure injection and chaos testing to validate system performance under real world stress. Our teams primarily build software using Python. We'll trust you to: Define and promote standards for observability, alerting, and incident response. Develop self maintaining tools using statistical analysis, health metrics, and distributed tracing. Embed resiliency best practices into the full software development lifecycle. Lead initiatives to mitigate risks related to performance, capacity, and scale. Translate technical findings into actionable insights for engineers and stakeholders. Automate operational tasks to enhance the safety and scalability of our infrastructure. You'll need to have: Professional experience with Python or C++. Strong collaboration and communication skills. An understanding of distributed systems and system reliability. Familiarity with SLOs, SLIs, and SLAs. A degree in Computer Science, Engineering, or equivalent practical experience. We'd love to see: Experience in an SRE, Reliability or Production Engineering role. Deep knowledge of system health assessment and building effective alerting. Hands on experience with monitoring tools (e.g., Grafana, Humio) and chaos engineering. Familiarity with leveraging Generative AI (e.g., GitHub Copilot, Gemini) to accelerate development. Experience with big data technologies like Apache Spark or Amazon S3. 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.
04/05/2026
Full time
Senior Software Engineer / SRE - Electronic Trading Location London Business Area Engineering and CTO Ref # Description & Requirements About Observability Engineering Senior Software Engineers - SRE in Electronic Trading (ET) ensure our global enterprise products spanning fixed income, equities, and derivatives are resilient and observable. This role focuses on building culture and platforms of observability and resilience to prevent market disruptions for global traders. We specialize in proactive anomaly detection, providing advanced performance insights and best practice guidance. Our team collaborates with application developers to define meaningful SLOs, implement chaos engineering, and build diagnostic tools that mitigate architectural risks as our platforms scale. What's in it for you? You will have the autonomy to drive reliability initiatives end to end, influencing the reliability strategy for critical global trading systems. By championing modern SRE practices and automation, you will fundamentally transform how we manage system stability. In your day to day, you'll develop frameworks for tracking reliability metrics, collaborate on system health reports, and build libraries that standardize alerting and incident response. You will also use failure injection and chaos testing to validate system performance under real world stress. Our teams primarily build software using Python. We'll trust you to: Define and promote standards for observability, alerting, and incident response. Develop self maintaining tools using statistical analysis, health metrics, and distributed tracing. Embed resiliency best practices into the full software development lifecycle. Lead initiatives to mitigate risks related to performance, capacity, and scale. Translate technical findings into actionable insights for engineers and stakeholders. Automate operational tasks to enhance the safety and scalability of our infrastructure. You'll need to have: Professional experience with Python or C++. Strong collaboration and communication skills. An understanding of distributed systems and system reliability. Familiarity with SLOs, SLIs, and SLAs. A degree in Computer Science, Engineering, or equivalent practical experience. We'd love to see: Experience in an SRE, Reliability or Production Engineering role. Deep knowledge of system health assessment and building effective alerting. Hands on experience with monitoring tools (e.g., Grafana, Humio) and chaos engineering. Familiarity with leveraging Generative AI (e.g., GitHub Copilot, Gemini) to accelerate development. Experience with big data technologies like Apache Spark or Amazon S3. 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.
A global financial services firm in Greater London is seeking a Senior Software Engineer / SRE to focus on ensuring observability and resilience for its Electronic Trading systems. You will drive reliability initiatives, develop frameworks for tracking metrics, and collaborate on system health reports. The ideal candidate has a strong background in Python or C++, understands distributed systems, and is familiar with SLOs and SLIs. This role offers an opportunity to influence the reliability strategy for critical trading systems.
03/05/2026
Full time
A global financial services firm in Greater London is seeking a Senior Software Engineer / SRE to focus on ensuring observability and resilience for its Electronic Trading systems. You will drive reliability initiatives, develop frameworks for tracking metrics, and collaborate on system health reports. The ideal candidate has a strong background in Python or C++, understands distributed systems, and is familiar with SLOs and SLIs. This role offers an opportunity to influence the reliability strategy for critical trading systems.
Bloomberg is a leading provider of financial benchmarks and custom index services. This includes investment and market analysis of both alpha and beta sources, portfolio benchmarking and performance measurement, asset allocation, and the creation of index tracking funds and index-based structured products. Our beta/benchmark platform, Bloomberg Index Services Ltd (BISL) is the leading provider of fixed income, inflation-linked, and swaps indices offering unmatched market coverage and a full suite of customized client solutions for benchmarking and informational needs! The BISL platform also includes a diverse family of alpha generating strategy indices that offer quick and easy access to outperformance sources and a quantitative way to express investment strategies, in markets that would otherwise be difficult to access. Index products are available across multiple asset classes including equities, fixed income, FX, commodities, derivatives, and alternative investments. What is the role? You will be responsible for managing all aspects of the daily production processes of the various BISL index families within the EMEA region. Reporting to the EMEA/APAC Index Production TL, you will ensure that index data is calculated and published accurately and on time every day. You will work with the Client Index Services teams to ensure client needs are met in an efficient and timely manner. You will work with the Change Management and Engineering teams to design and build the tools and technology required for the aforesaid tasks. We'll trust you to: Run daily production tasks, responding to events raised in the index monitoring console Become a subject matter expert in multiple asset classes, related data and indices (global equities, commodities, currencies, etc.) Perform index rebalance evaluations, including analysis of membership inclusions and omissions Work with both our clients and internal partners in response to index data related queries Work closely with the Index Change Management and Client Services teams, and the Engineering team, to develop workflows, quality assurance processes and product improvements You will be expected to: Have strong data and quantitative analysis skills Have Strong operational and process management skills Be able to analyse a problem on the fly, in real time, with limited information, and determine a valid and helpful course of action Be able to identify and communicate the key points of information to partners and stakeholders-clearly, completely, and concisely-under pressure Be able to quickly understand and learn the Benchmark and Strategy Index businesses, and their role within the capital markets Be enthusiastic about learning complex business and technology processes and actively contributing to their evolution Be self-motivated, with the ability to work independently as well as part of a team Be able to interact and communicate effectively with our clients Have excellent attention to detail Be dedicated to quality You'll need to have: Excellent problem solving and communications skills Knowledge of financial markets and products (Index) We'd love to see: Technology skills (Python & SQL) Eagerness to learn and work in a challenging, complex, dynamic, high pressure environment If this sounds like you: Apply if you think we're a good match! We'll get in touch with you to let you know what the next steps are. Bloomberg is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 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 . Alternatively, you can get support from our disability partner EmployAbility, please contact or
04/11/2021
Full time
Bloomberg is a leading provider of financial benchmarks and custom index services. This includes investment and market analysis of both alpha and beta sources, portfolio benchmarking and performance measurement, asset allocation, and the creation of index tracking funds and index-based structured products. Our beta/benchmark platform, Bloomberg Index Services Ltd (BISL) is the leading provider of fixed income, inflation-linked, and swaps indices offering unmatched market coverage and a full suite of customized client solutions for benchmarking and informational needs! The BISL platform also includes a diverse family of alpha generating strategy indices that offer quick and easy access to outperformance sources and a quantitative way to express investment strategies, in markets that would otherwise be difficult to access. Index products are available across multiple asset classes including equities, fixed income, FX, commodities, derivatives, and alternative investments. What is the role? You will be responsible for managing all aspects of the daily production processes of the various BISL index families within the EMEA region. Reporting to the EMEA/APAC Index Production TL, you will ensure that index data is calculated and published accurately and on time every day. You will work with the Client Index Services teams to ensure client needs are met in an efficient and timely manner. You will work with the Change Management and Engineering teams to design and build the tools and technology required for the aforesaid tasks. We'll trust you to: Run daily production tasks, responding to events raised in the index monitoring console Become a subject matter expert in multiple asset classes, related data and indices (global equities, commodities, currencies, etc.) Perform index rebalance evaluations, including analysis of membership inclusions and omissions Work with both our clients and internal partners in response to index data related queries Work closely with the Index Change Management and Client Services teams, and the Engineering team, to develop workflows, quality assurance processes and product improvements You will be expected to: Have strong data and quantitative analysis skills Have Strong operational and process management skills Be able to analyse a problem on the fly, in real time, with limited information, and determine a valid and helpful course of action Be able to identify and communicate the key points of information to partners and stakeholders-clearly, completely, and concisely-under pressure Be able to quickly understand and learn the Benchmark and Strategy Index businesses, and their role within the capital markets Be enthusiastic about learning complex business and technology processes and actively contributing to their evolution Be self-motivated, with the ability to work independently as well as part of a team Be able to interact and communicate effectively with our clients Have excellent attention to detail Be dedicated to quality You'll need to have: Excellent problem solving and communications skills Knowledge of financial markets and products (Index) We'd love to see: Technology skills (Python & SQL) Eagerness to learn and work in a challenging, complex, dynamic, high pressure environment If this sounds like you: Apply if you think we're a good match! We'll get in touch with you to let you know what the next steps are. Bloomberg is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 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 . Alternatively, you can get support from our disability partner EmployAbility, please contact or
You're on the pulse with market movements and live for the details beyond the headlines. You love to establish relationships and always look to provide excellent customer service. As a natural problem solver, you thrive with building innovative solutions to sophisticated problems. The Role: Bloomberg's Content Acquisition and Business Management team (CABM) is seeking a Technical Project Manager to join our team in the London office. For this role, we are looking for an outstanding professional who has a mixture of strong analytical, project management, and technology skills and an ability to bring an entrepreneurial vision to our Exchanges team. The Exchanges team supports over 350 trading venues globally and is constantly looking to improve our technical capabilities to effectively run our market leading exchange content. Market Data Project Managers are responsible for formulating and delivering end-to-end technology solutions in line with strategic business objectives. They understand how market data is used by various Bloomberg products and customers and can collaborate with internal and external partners to implement enterprise wide initiatives. They are highly analytical individuals who can innovate and deliver in a multifaceted and constantly evolving, technical environment. We'll trust you to: Demonstrate your experience in the financial industry and understanding of market data and technology to develop strategies to influence and advise the strategic direction of Bloomberg's exchange infrastructure. You'll not only excel in leading day-to-day projects but you'll also keep an eye on the big picture and won't be afraid to upend existing systems and processes if need be. You'll periodically review the alignment of our technology with the business strategy and drive initiatives to constantly raise the bar of our capabilities to acquire and handle exchange content. How you will make an impact: Champion projects sought to transform Bloomberg's technical and business capabilities to handle exchange services Build and handle the plans for moving technical solutions to production Utilise your strong analytic abilities to devise innovative market data technology solutions to influence the strategic direction of Bloomberg's infrastructure Assist with solving technical problems when they arise Form relationships with internal and external partners to understand their business needs; build consensus and strategies to deliver on those needs Proactively lead changes in project scope, identify potential risks and devise contingency plans Effectively communicate progress and success to partners in compelling, creative, and accessible ways Develop and deliver reports & requirements documentation Build a rapport with programmers - keeping them focused and projects moving You'll need to have: Expertise with how market data is used by different Bloomberg products and customers Shown industry experience, with a passion for leading projects involving new technology Experience handling financial technology projects involving teams of Engineers A desire to increase knowledge of software, network architecture and low latency parsers and systems Proficiency with one or more web development languages, such as Ruby or Python Ability to discuss deep technical concepts, evaluate trade-offs and devise innovative solutions with engineers Understanding of financial markets and the exchange market data industry Strong analytical and quantitative skills; ability to use data and metrics to back up assumptions and recommendations Experience leading cross-organisational teams and ability to work closely with engineers to deliver on daring schedules Excellent oral and written communication skills Problem solving aptitude We'd love to see: Proven interest in programming ETL experience Exposure to agile software development methodologies Innovative mind-set Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
04/11/2021
Full time
You're on the pulse with market movements and live for the details beyond the headlines. You love to establish relationships and always look to provide excellent customer service. As a natural problem solver, you thrive with building innovative solutions to sophisticated problems. The Role: Bloomberg's Content Acquisition and Business Management team (CABM) is seeking a Technical Project Manager to join our team in the London office. For this role, we are looking for an outstanding professional who has a mixture of strong analytical, project management, and technology skills and an ability to bring an entrepreneurial vision to our Exchanges team. The Exchanges team supports over 350 trading venues globally and is constantly looking to improve our technical capabilities to effectively run our market leading exchange content. Market Data Project Managers are responsible for formulating and delivering end-to-end technology solutions in line with strategic business objectives. They understand how market data is used by various Bloomberg products and customers and can collaborate with internal and external partners to implement enterprise wide initiatives. They are highly analytical individuals who can innovate and deliver in a multifaceted and constantly evolving, technical environment. We'll trust you to: Demonstrate your experience in the financial industry and understanding of market data and technology to develop strategies to influence and advise the strategic direction of Bloomberg's exchange infrastructure. You'll not only excel in leading day-to-day projects but you'll also keep an eye on the big picture and won't be afraid to upend existing systems and processes if need be. You'll periodically review the alignment of our technology with the business strategy and drive initiatives to constantly raise the bar of our capabilities to acquire and handle exchange content. How you will make an impact: Champion projects sought to transform Bloomberg's technical and business capabilities to handle exchange services Build and handle the plans for moving technical solutions to production Utilise your strong analytic abilities to devise innovative market data technology solutions to influence the strategic direction of Bloomberg's infrastructure Assist with solving technical problems when they arise Form relationships with internal and external partners to understand their business needs; build consensus and strategies to deliver on those needs Proactively lead changes in project scope, identify potential risks and devise contingency plans Effectively communicate progress and success to partners in compelling, creative, and accessible ways Develop and deliver reports & requirements documentation Build a rapport with programmers - keeping them focused and projects moving You'll need to have: Expertise with how market data is used by different Bloomberg products and customers Shown industry experience, with a passion for leading projects involving new technology Experience handling financial technology projects involving teams of Engineers A desire to increase knowledge of software, network architecture and low latency parsers and systems Proficiency with one or more web development languages, such as Ruby or Python Ability to discuss deep technical concepts, evaluate trade-offs and devise innovative solutions with engineers Understanding of financial markets and the exchange market data industry Strong analytical and quantitative skills; ability to use data and metrics to back up assumptions and recommendations Experience leading cross-organisational teams and ability to work closely with engineers to deliver on daring schedules Excellent oral and written communication skills Problem solving aptitude We'd love to see: Proven interest in programming ETL experience Exposure to agile software development methodologies Innovative mind-set Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Who are we? Bloomberg has tens of millions of time series our clients can use to generate ideas and make trading decisions. Some of these time series represent prices, whereas others represent fundamental data, such as the inventory of warehouses around the world. We have developed a system that organises time series and datasets across the Commodities, Foreign Exchange/Currencies, Economics, ESG and Bloomberg Intelligence spaces. Our system enables downstream applications to empower Bloomberg's customers to hedge their inherent business risks, brokers to facilitate deals between their clients and speculators identify opportunities. Technology We develop primarily in Python 3 and Javascript, and maintain some assets in C++. We use Postgres for our primary database, RabbitMQ for work distribution and Solr & Redis for specialist use cases. We started to use RDF for inter-system communication. We've designed a variety of GraphQL services, where we can solve multiple query problems with a single implementation. We drive our SDLC processes from our GitHub Enterprise instance and use Jenkins for CI. We deploy to a mix of containerised and Linux VM-based environments. What's in it for you? We place a lot of value on a good developer experience and developing the right solution. Every week, we encourage people to spend half a day on engineer-led learning and innovation. As part of this process, the team has open sourced 2 Python libraries and introduced GraphQL to our stack. We have been an agile team since 2015; we started with Scrum, but have now adopted predominantly Kanban practices. We regularly reflect on our process, practices and tools together as a team in order to evolve our way of working. We work closely with our product owner and delivery manager, and encourage everyone on the team to contribute to the roadmap and develop a breadth of knowledge across our assets. We'll trust you to: Implement stable solutions using the best technology for the job, whether that is well-established in the system or introduced from outside of Bloomberg, in order to deliver solutions that minimize maintenance cost and improve our reliability and performance Contribute to the work of the engineering team, including mentoring junior members, pair programming and peer reviewing Contribute to the work of the wider group, including collaborating with product owners and data administration teams, to understand and develop solutions to their problems Participate actively in our agile process You'll need to have: Experience with one or more of the following: Python, JavaScript, C or C++ An aptitude for problem solving, and a desire to build software solutions to complex business problems A team player attitude and collaborative approach to development Commitment to building quality software through tests We'd love to see: Familiarity with Postgres, Solr, Redis and/or GraphQL Experience with RDF, or similar knowledge base technologies Interest in learning about the financial markets If this sounds like you, please apply! Interview process: We believe interviewing is a two way street. It's a way for us to get to know you and your skills, and also a way for you to learn more about the team, our technical challenges, and what you'd be working on. The content of each interview round will be tailored to the role and your background, but the general framework can be found here: We want to ensure you can put your best foot forward throughout the process, so if you have any questions or need any accommodations to be successful, please let us know. And do check out our blog, TechAtBloomberg.com/ to learn more. Bloomberg is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We have a lot of opportunities to choose from in Engineering, and it is important to us that your skills and experience align best with the team you are interviewing with. To help ensure you are placed on the right team, your application will be considered for all of our current vacancies in Engineering at the first stage of the interview process.
04/11/2021
Full time
Who are we? Bloomberg has tens of millions of time series our clients can use to generate ideas and make trading decisions. Some of these time series represent prices, whereas others represent fundamental data, such as the inventory of warehouses around the world. We have developed a system that organises time series and datasets across the Commodities, Foreign Exchange/Currencies, Economics, ESG and Bloomberg Intelligence spaces. Our system enables downstream applications to empower Bloomberg's customers to hedge their inherent business risks, brokers to facilitate deals between their clients and speculators identify opportunities. Technology We develop primarily in Python 3 and Javascript, and maintain some assets in C++. We use Postgres for our primary database, RabbitMQ for work distribution and Solr & Redis for specialist use cases. We started to use RDF for inter-system communication. We've designed a variety of GraphQL services, where we can solve multiple query problems with a single implementation. We drive our SDLC processes from our GitHub Enterprise instance and use Jenkins for CI. We deploy to a mix of containerised and Linux VM-based environments. What's in it for you? We place a lot of value on a good developer experience and developing the right solution. Every week, we encourage people to spend half a day on engineer-led learning and innovation. As part of this process, the team has open sourced 2 Python libraries and introduced GraphQL to our stack. We have been an agile team since 2015; we started with Scrum, but have now adopted predominantly Kanban practices. We regularly reflect on our process, practices and tools together as a team in order to evolve our way of working. We work closely with our product owner and delivery manager, and encourage everyone on the team to contribute to the roadmap and develop a breadth of knowledge across our assets. We'll trust you to: Implement stable solutions using the best technology for the job, whether that is well-established in the system or introduced from outside of Bloomberg, in order to deliver solutions that minimize maintenance cost and improve our reliability and performance Contribute to the work of the engineering team, including mentoring junior members, pair programming and peer reviewing Contribute to the work of the wider group, including collaborating with product owners and data administration teams, to understand and develop solutions to their problems Participate actively in our agile process You'll need to have: Experience with one or more of the following: Python, JavaScript, C or C++ An aptitude for problem solving, and a desire to build software solutions to complex business problems A team player attitude and collaborative approach to development Commitment to building quality software through tests We'd love to see: Familiarity with Postgres, Solr, Redis and/or GraphQL Experience with RDF, or similar knowledge base technologies Interest in learning about the financial markets If this sounds like you, please apply! Interview process: We believe interviewing is a two way street. It's a way for us to get to know you and your skills, and also a way for you to learn more about the team, our technical challenges, and what you'd be working on. The content of each interview round will be tailored to the role and your background, but the general framework can be found here: We want to ensure you can put your best foot forward throughout the process, so if you have any questions or need any accommodations to be successful, please let us know. And do check out our blog, TechAtBloomberg.com/ to learn more. Bloomberg is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We have a lot of opportunities to choose from in Engineering, and it is important to us that your skills and experience align best with the team you are interviewing with. To help ensure you are placed on the right team, your application will be considered for all of our current vacancies in Engineering at the first stage of the interview process.
The Team: Bloomberg is a leading provider of financial benchmarks and custom index services! This includes investment and market analysis of both alpha and beta sources, portfolio benchmarking and performance measurement, asset allocation, and the creation of index tracking funds and index-based structured products. Our beta/benchmark platform, Bloomberg Index Services Ltd (BISL) is the leading provider of fixed income, inflation-linked, and swaps indices offering unmatched market coverage and a full suite of customized client solutions for benchmarking and informational needs! The BISL platform also includes a diverse family of alpha generating strategy indices that offer quick and easy access to out-performance sources and a quantitative way to express investment strategies, in markets that would otherwise be difficult to access. Index products are available across multiple asset classes including equities, fixed income, FX, commodities, derivatives, and alternative investments. The Role: As an Index Implementation Representative, you will join a global team is who is responsible for the implementation and support of customers who purchase our index files. You will need to demonstrate strong project management skills to coordinate all aspects of the on-boarding process, including working with sales teams and understanding the client workflow. We'll trust you to: Work with sales and our clients to onboard new index businesses through the creation of new SFTP accounts Set up delivery of our files for clients Troubleshoot existing accounts for clients Work with various partners to identify opportunities to create efficiencies within the workflow to improve the customer experience Understand the client workflow You'll need to have: 0-2+ years' experience within the financial markets Experience working within the fixed income market An understanding of our Index business or Indices Basic market knowledge across different asset classes Strong project management skills Ability to communicate effectively with both internal and external clients Previous customer service experience Ability to work in a fast paced 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. Bloomberg is committed to diversity. It drives our Teams innovation. At Bloomberg, you'll have the opportunity to go above and beyond and to take risks. You'll be a part of an organization that is entering new markets, launching new ventures, and pushing boundaries. Our ever-expanding array of technology, data, news, and media services champions innovation and empowers clients -- and offers nearly limitless opportunities for career growth. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We bring out the best in each other.
04/11/2021
Full time
The Team: Bloomberg is a leading provider of financial benchmarks and custom index services! This includes investment and market analysis of both alpha and beta sources, portfolio benchmarking and performance measurement, asset allocation, and the creation of index tracking funds and index-based structured products. Our beta/benchmark platform, Bloomberg Index Services Ltd (BISL) is the leading provider of fixed income, inflation-linked, and swaps indices offering unmatched market coverage and a full suite of customized client solutions for benchmarking and informational needs! The BISL platform also includes a diverse family of alpha generating strategy indices that offer quick and easy access to out-performance sources and a quantitative way to express investment strategies, in markets that would otherwise be difficult to access. Index products are available across multiple asset classes including equities, fixed income, FX, commodities, derivatives, and alternative investments. The Role: As an Index Implementation Representative, you will join a global team is who is responsible for the implementation and support of customers who purchase our index files. You will need to demonstrate strong project management skills to coordinate all aspects of the on-boarding process, including working with sales teams and understanding the client workflow. We'll trust you to: Work with sales and our clients to onboard new index businesses through the creation of new SFTP accounts Set up delivery of our files for clients Troubleshoot existing accounts for clients Work with various partners to identify opportunities to create efficiencies within the workflow to improve the customer experience Understand the client workflow You'll need to have: 0-2+ years' experience within the financial markets Experience working within the fixed income market An understanding of our Index business or Indices Basic market knowledge across different asset classes Strong project management skills Ability to communicate effectively with both internal and external clients Previous customer service experience Ability to work in a fast paced 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. Bloomberg is committed to diversity. It drives our Teams innovation. At Bloomberg, you'll have the opportunity to go above and beyond and to take risks. You'll be a part of an organization that is entering new markets, launching new ventures, and pushing boundaries. Our ever-expanding array of technology, data, news, and media services champions innovation and empowers clients -- and offers nearly limitless opportunities for career growth. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We bring out the best in each other.
Bloomberg is a market leader in Financial Journalism. We have a lot of data in our ecosystem that can be challenging for manual analysis. Automated news aims to uncover the signals hidden in these large sets of data, convert the signals into a news story and get the story out to our clients ahead of the competition. Our team is responsible for the infrastructure that powers this. We enable a team of "Content Engineers" to easily pull data from across Bloomberg and convert that data into news stories with our custom Python development environment. Our system needs to be stable and resilient as we provide primary news coverage for critical areas such as company earnings, change in economic indicators and bond issuance. As well as publishing directly to the news wire we also support on-demand content generation. Our client-facing product Automated Intelligence on Demand - which was featured on Mike Bloomberg's 60 Minutes segment - generates live reports on companies, currencies and indexes to thousands of clients every day. Our latest project enables reporters in the Bloomberg news room to leverage on-demand automated content in their daily workflow to improve story quality and reduce time to market. Our server side code is written in Python 3, and our user interfaces in TypeScript. As well as building with Bloomberg's in house technologies we use open source projects including Redis and Zookeeper in critical parts of our system. What's in it for you? Working in a team with a good mix of infrastructure and application work Working in a very friendly, helpful team with a great team culture. We collaborate together on all projects, with a lot of pairing. Following good code and testing practices using local development Being at the forefront of automated journalism We will expect you to Be happy to work in a collaborative scrum team, with collective ownership of the system Be comfortable coding in Python Follow and continuously improve our team's design, coding and testing standards. Everyone in the team is expected to push the team's practices forward. We would love to see Ability to collaborate with our stakeholders to take their ideas and break them down into technical requirements An interest in coaching and mentoring Experience in working with distributed systems, microservices, Python 3 Interest in system design and architecture A passion for creating good developer experience (for us and content engineers) If this sounds like you: Apply if you think we're a good match! We'll get in touch with you to let you know what the next steps are. In the meantime, check us out at Interview process: We believe interviewing is a two way street. It's a way for us to get to know you and your skills, and also a way for you to learn more about the team, our technical challenges, and what you'd be working on. The content of each interview round will be tailored to the role and your background, but the general framework can be found here: We want to ensure you can put your best foot forward throughout the process, so if you have any questions or need any accommodations to be successful, please let us know. Bloomberg is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status We have a lot of opportunities to choose from in Engineering, and it is important to us that your skills and experience align best with the team you are interviewing with. To help ensure you are placed on the right team, your application will be considered for all of our current vacancies in Engineering at the first stage of the interview process.
01/10/2021
Full time
Bloomberg is a market leader in Financial Journalism. We have a lot of data in our ecosystem that can be challenging for manual analysis. Automated news aims to uncover the signals hidden in these large sets of data, convert the signals into a news story and get the story out to our clients ahead of the competition. Our team is responsible for the infrastructure that powers this. We enable a team of "Content Engineers" to easily pull data from across Bloomberg and convert that data into news stories with our custom Python development environment. Our system needs to be stable and resilient as we provide primary news coverage for critical areas such as company earnings, change in economic indicators and bond issuance. As well as publishing directly to the news wire we also support on-demand content generation. Our client-facing product Automated Intelligence on Demand - which was featured on Mike Bloomberg's 60 Minutes segment - generates live reports on companies, currencies and indexes to thousands of clients every day. Our latest project enables reporters in the Bloomberg news room to leverage on-demand automated content in their daily workflow to improve story quality and reduce time to market. Our server side code is written in Python 3, and our user interfaces in TypeScript. As well as building with Bloomberg's in house technologies we use open source projects including Redis and Zookeeper in critical parts of our system. What's in it for you? Working in a team with a good mix of infrastructure and application work Working in a very friendly, helpful team with a great team culture. We collaborate together on all projects, with a lot of pairing. Following good code and testing practices using local development Being at the forefront of automated journalism We will expect you to Be happy to work in a collaborative scrum team, with collective ownership of the system Be comfortable coding in Python Follow and continuously improve our team's design, coding and testing standards. Everyone in the team is expected to push the team's practices forward. We would love to see Ability to collaborate with our stakeholders to take their ideas and break them down into technical requirements An interest in coaching and mentoring Experience in working with distributed systems, microservices, Python 3 Interest in system design and architecture A passion for creating good developer experience (for us and content engineers) If this sounds like you: Apply if you think we're a good match! We'll get in touch with you to let you know what the next steps are. In the meantime, check us out at Interview process: We believe interviewing is a two way street. It's a way for us to get to know you and your skills, and also a way for you to learn more about the team, our technical challenges, and what you'd be working on. The content of each interview round will be tailored to the role and your background, but the general framework can be found here: We want to ensure you can put your best foot forward throughout the process, so if you have any questions or need any accommodations to be successful, please let us know. Bloomberg is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status We have a lot of opportunities to choose from in Engineering, and it is important to us that your skills and experience align best with the team you are interviewing with. To help ensure you are placed on the right team, your application will be considered for all of our current vacancies in Engineering at the first stage of the interview process.
