1 to 25 of 40 Bloomberg Jobs in the City of London

/LIFFE, Eurex, CME/CBOT, Xetra, Chi-X, LME, LSE, NYSE. FIX Connectivity - Client On-boarding, Support/Troubleshooting of FIX Logs/Connections. Other Market Data - Reuters, Bloomberg, CQG, Ateo (Teo and Lisa). More ❯

teams to ensure seamless integration of data and systems Act as a point of escalation for complex data issues and drive root cause analysis Work with data vendors (e.g., Bloomberg, FactSet, Refinitiv) to manage external feeds and troubleshoot delivery Identify opportunities to automate workflows and improve data reliability and accessibility Contribute to documentation, training, and knowledge sharing across the global More ❯

teams to ensure seamless integration of data and systems Act as a point of escalation for complex data issues and drive root cause analysis Work with data vendors (e.g., Bloomberg, FactSet, Refinitiv) to manage external feeds and troubleshoot delivery Identify opportunities to automate workflows and improve data reliability and accessibility Contribute to documentation, training, and knowledge sharing across the global More ❯

capture, pricing, and settlement workflows. Support risk, P&L, and accounting processes within Avaloq for treasury-related products. Integration & Interfaces Work on Avaloq interfaces to trading platforms (e.g., Murex, Bloomberg, Refinitiv, Calypso, Kondor+) and downstream systems. Ensure smooth end-to-end trade lifecycle from capture to settlement. Support development of interfaces for regulatory and compliance reporting. Change & Incident Management Analyze More ❯

capture, pricing, and settlement workflows. Support risk, P&L, and accounting processes within Avaloq for treasury-related products. Integration & Interfaces Work on Avaloq interfaces to trading platforms (e.g., Murex, Bloomberg, Refinitiv, Calypso, Kondor+) and downstream systems. Ensure smooth end-to-end trade lifecycle from capture to settlement. Support development of interfaces for regulatory and compliance reporting. Change & Incident Management Analyze More ❯

time datasets. Proven Linux system administration experience, including shell scripting, process monitoring, and performance optimization in low-latency or real-time trading environments. Solid understanding of market data sources (Bloomberg, Refinitiv/Reuters, ICE, etc.). Prior exposure to electronic trading, execution platforms, or market-making systems. Excellent communication and problem-solving skills; able to perform effectively under pressure in More ❯

DevOps practices, and containerization (Docker, Kubernetes). Proficiency in scripting languages (Python, Bash) and automation tools. Excellent communication and stakeholder management skills. Desirable: Experience with financial data platforms (e.g., Bloomberg, Refinitiv). Knowledge of regulatory frameworks (e.g., MiFID II, Basel III). Familiarity with multi-cloud or hybrid cloud environments. Background in fintech or banking technology transformation projects. Why Join More ❯

time datasets. Proven Linux system administration experience, including shell scripting, process monitoring, and performance optimization in low-latency or real-time trading environments. Solid understanding of market data sources (Bloomberg, Refinitiv/Reuters, ICE, etc.). Prior exposure to electronic trading, execution platforms, or market-making systems. Excellent communication and problem-solving skills; able to perform effectively under pressure in More ❯

Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role More ❯

Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role More ❯

Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role More ❯

Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role More ❯

Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role More ❯

Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In this role More ❯

and unstructured data. Collaborate directly with traders, quantitative analysts, and portfolio managers to understand data needs and deliver actionable insights. Integrate and manage real-time market data feeds (e.g., Bloomberg, ICE, CME) and internal trading systems. Build and optimize data models for pricing, risk, and PnL analytics. Ensure high availability and performance of data infrastructure in a low-latency trading More ❯

and unstructured data. Collaborate directly with traders, quantitative analysts, and portfolio managers to understand data needs and deliver actionable insights. Integrate and manage real-time market data feeds (e.g., Bloomberg, ICE, CME) and internal trading systems. Build and optimize data models for pricing, risk, and PnL analytics. Ensure high availability and performance of data infrastructure in a low-latency trading More ❯

Essential Skills & Experience Strong recent experience in Microsoft Excel VBA and 2nd line application support. SQL Experience Technical knowledge of at least one of the following: Market data apps (Bloomberg, Reuters) Basic scripting (e.g., PowerShell) Application monitoring tools Proven background in 1st and 2nd line support. Details 23 month FTC (with a strong chance of being made permanent) £40k - £44k More ❯

MongoDB). Solid understanding of financial markets and instruments particularly Fixed Income (or may consider with an exposure to credit, rates, equities, options, etc. Experience with market data providers (Bloomberg, Refinitiv, etc.) would be useful Any familiarity with tools such as Airflow, prefect, or other orchestration frameworks would be advantageous. Experience building internal tools or dashboards using Dash, Streamlit, or More ❯

key stakeholders) with priority response times, ensuring minimal downtime and personalized assistance. Install and update software applications including operating systems (Windows, macOS), productivity tools (Microsoft O365), and fintech applications (Bloomberg, Trafix). Perform basic network troubleshooting including Wi-Fi connectivity, VPN setup, and IP configuration. Document support tickets, resolutions, and user interactions in the IT helpdesk system. Conduct user training More ❯

DataHeavy FinTech Platform Youll join a 50person, London/US SaaS scaleup serving toptier investment firms with a marketleading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is Londonbased (circa 1314 people across DevOps, Frontend, AI/ML, Backend, and QA). Everything is the latest and greatest tech in the cloud, serverless etc. More ❯

join a 50‐person, London/US SaaS scale‐up serving top‐tier investment firms with a market‐leading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is London‐based (circa 13–14 people across DevOps, Frontend, AI/ML, Backend, and QA). Everything is the latest and greatest tech in the cloud More ❯

join a 50‐person, London/US SaaS scale‐up serving top‐tier investment firms with a market‐leading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is London‐based (circa 13–14 people across DevOps, Frontend, AI/ML, Backend, and QA). Everything is the latest and greatest tech in the cloud More ❯

Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg, Google, AWS, and WhatsApp (Meta). We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. More ❯

Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg, Google, AWS, and WhatsApp (Meta). We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. More ❯

Qualifications, Knowledge, Skills and Technical Experience Required: Experienced in using ITSM platforms (halo/service now/manage engine/top desk/alloy navigator) Exposure to Market Data, Bloomberg, Trader Support (bonus) Microsoft Windows 10/11 (all versions) experience to a high level (troubleshoot and effectively resolve issues by research/using knowledge bases in a confident way More ❯