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 ❯
london (city of london), south east england, united kingdom
Zettafleet
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 ❯
london (city of london), south east england, united kingdom
Zettafleet
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 ❯
london (city of london), south east england, united kingdom
Zettafleet
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 ❯
experience configuring Fidessa EMS integrations - order flows and drop copy feeds. Hands-on experience managing EMS Routing rules, Wheel, FDM and other configurations Experience with OMS platforms such as Bloomberg AIM, FlexTrade, Charles River, or custom in-house systems. Soft Skills Excellent problem-solving, analytical, and debugging abilities. Strong written documentation and communication skills; capable of translating complex system issues More ❯
london, south east england, united kingdom Hybrid / WFH Options
Intuition IT – Intuitive Technology Recruitment
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 ❯
london (city of london), south east england, united kingdom
Vertus Partners
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 ❯
VDI environments (Citrix Virtual Apps/Desktops, VMware Horizon, or Azure Virtual Desktop). Strong understanding of Windows 10/11, Windows Server, Active Directory, Group Policy. Experience with Bloomberg, Reuters, Eikon, and custom trading applications . Exposure to real-time market data systems and FIX protocol environments. Knowledge of cloud-hosted VDI (Azure, AWS WorkSpaces) . More ❯
VDI environments (Citrix Virtual Apps/Desktops, VMware Horizon, or Azure Virtual Desktop). Strong understanding of Windows 10/11, Windows Server, Active Directory, Group Policy. Experience with Bloomberg, Reuters, Eikon, and custom trading applications . Exposure to real-time market data systems and FIX protocol environments. Knowledge of cloud-hosted VDI (Azure, AWS WorkSpaces) . More ❯
VDI environments (Citrix Virtual Apps/Desktops, VMware Horizon, or Azure Virtual Desktop). Strong understanding of Windows 10/11, Windows Server, Active Directory, Group Policy. Experience with Bloomberg, Reuters, Eikon, and custom trading applications . Exposure to real-time market data systems and FIX protocol environments. Knowledge of cloud-hosted VDI (Azure, AWS WorkSpaces) . More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
Morgan Hunt Recruitment
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 ❯