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 ❯
for someone with previous experience editing and marketing content. Key Responsibilities Editorial duties ( 20-25% of time) Webinar & podcast distribution ( 10-15% of time) Interview recordings and distribution ( Collate Bloomberg chat messages to clients and curate as new content ( 30% of time). Marketing pieces online ( 20% of the time) Use AI and digital tools to scale content reuse across 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 ❯
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 ❯
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 ❯
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 ❯
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 ❯
london (city of london), south east england, united kingdom
GBM Securities
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 ❯
regulations such SFDR and TCFD Experience with ESG data vendors Exceptional analytical, conceptual and problem-solving abilities. Experience with SQL and/or Snowflake databases, Aladdin and/or Bloomberg systems a plus Experience with ESG Reporting and/or regulatory reporting a plus. Neuberger Berman is an equal opportunity employer. The Firm and its affiliates do not discriminate in 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 ❯
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 ❯
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 ❯
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 ❯
london (city of london), south east england, united kingdom
Prism Digital
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 ❯
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 ❯
london (city of london), south east england, united kingdom
Zettafleet
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 ❯
