26 to 50 of 99 Bloomberg Jobs in the UK excluding London

depth understanding of instrument data, client hierarchies, and account structures across asset classes (Equities, Fixed Income, Derivatives). Experience with data governance tools and reference data platforms (e.g., GoldenSource, Bloomberg, EDM, Markit, SmartStream, or internal MDM systems). Strong knowledge of data modeling, lineage, and metadata management concepts. Ability to translate operational requirements into data management and technology solutions. Hands 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 ❯

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 ❯

Excellent organizational, verbal interaction and writing skills, good presentation skills Experience/Competences Essential Must have minimum of 7 years in-depth experience with market data infrastructures such as Bloomberg BPIPE, EMRS, BLPAPI, Redline, Solace, TREP, ITRS Geneos and Corvil. Bachelor's degree in CS, MIS, engineering, or equivalent experience. Admin knowledge of RedHat Linux, hardware, including low-latency/ 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Prior experience with State Street and Charles River Development (CRD) considered a plus • Experience in tools such as PowerPoint, Excel, SQL • Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus 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 ❯

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 ❯