XTX Markets
XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future prove its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non hierarchical and one where everyone is valued. We strive for excellence in everything we do. The Role Support Engineer - End User Computing. The End User Computing team look after all the technology used directly by humans in our organisation, such as the Windows and Linux desktops and Windows server infrastructure (including active directory, application deployment, clustered enterprise database systems, monitoring and automated build systems), audio visual deployments, LAN, internet, and WiFi network environments and a wide range of enterprise applications (including e mail, third party productivity tools, and finance specific applications). We exhibit special expertise in automation (predominantly in PowerShell, but also in python and other languages). We currently operate 4 days a week in office, 1 from home. Responsibilities You will support our employees in their day to day use of the computer systems in our Bristol Office and offer remote support to other European offices as required. Perform day to day operations, support, and maintenance of our IT platform and cloud applications, including (but not limited to): Microsoft 365, Slack, Active Directory, Jira, VC Estate and other IT related systems. Co own and continuously improve the onboarding processes for both users and hardware in the Bristol office. Co Manage IT asset tracking and lifecycle processes (procurement, deployment, refresh, and disposal). Contribute to the global Windows platform, supporting standardisation, optimisation, and continuous improvement. Diagnose and resolve issues across: Windows desktops and servers. Active Directory and Entra ID. Hardware and peripherals. Develop and maintain automation solutions to improve efficiency and scalability, including: Automated builds and provisioning. Configuration management. Patch management and application deployment. Monitoring, observability, and performance tooling. Once fully integrated into the business, there is an on call rota to provide IT coverage. This includes occasional weekend support/maintenance tasks, approximately once every 6 weeks with time off in lieu the following week. Qualifications We estimate that you will have at least 5 years' experience in a relevant technical role and you will have many of the following technical skills: Active Directory. Windows 11, Windows Server (2019 / 2022 / 2025). Solid PowerShell scripting skills for automation. Experience with endpoint management tools: SCCM. Microsoft Intune (OS and application deployment/management). Familiarity with Linux command line environments. Working knowledge of version control systems (e.g., Git). Basic understanding of networking concepts and Cisco CLI commands. High proficiency with Microsoft Office applications. Due to the nature of the role, you will be occasionally required to move, lift, rack and install equipment (pc's, switches, servers). Personality and Soft Skills As this role involves regular interaction with, and providing support to our employees, we are seeking an individual that is: Personable and enthusiastic with a genuine desire to enable staff to take full advantage of their IT systems. Able to explain technical concepts and events to non technical staff members. Articulate, numerate and capable of negotiating high value technology equipment and services. Able to reason logically and consistently deliver under pressure. Able to spot new opportunities and follow through with them. Onboarding Note To set our new hire up for success, we envisage that you would need to spend significant chunks of time at our London HQ to onboard with our existing team and learn how we approach end user computing. This could be a few months at the beginning, reducing thereafter to less regular trips. Alternatively, this could be a few weeks at the start and regular periods (2 weeks in every 4) thereafter. XTX would cover all associated costs.
XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future prove its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non hierarchical and one where everyone is valued. We strive for excellence in everything we do. The Role Support Engineer - End User Computing. The End User Computing team look after all the technology used directly by humans in our organisation, such as the Windows and Linux desktops and Windows server infrastructure (including active directory, application deployment, clustered enterprise database systems, monitoring and automated build systems), audio visual deployments, LAN, internet, and WiFi network environments and a wide range of enterprise applications (including e mail, third party productivity tools, and finance specific applications). We exhibit special expertise in automation (predominantly in PowerShell, but also in python and other languages). We currently operate 4 days a week in office, 1 from home. Responsibilities You will support our employees in their day to day use of the computer systems in our Bristol Office and offer remote support to other European offices as required. Perform day to day operations, support, and maintenance of our IT platform and cloud applications, including (but not limited to): Microsoft 365, Slack, Active Directory, Jira, VC Estate and other IT related systems. Co own and continuously improve the onboarding processes for both users and hardware in the Bristol office. Co Manage IT asset tracking and lifecycle processes (procurement, deployment, refresh, and disposal). Contribute to the global Windows platform, supporting standardisation, optimisation, and continuous improvement. Diagnose and resolve issues across: Windows desktops and servers. Active Directory and Entra ID. Hardware and peripherals. Develop and maintain automation solutions to improve efficiency and scalability, including: Automated builds and provisioning. Configuration management. Patch management and application deployment. Monitoring, observability, and performance tooling. Once fully integrated into the business, there is an on call rota to provide IT coverage. This includes occasional weekend support/maintenance tasks, approximately once every 6 weeks with time off in lieu the following week. Qualifications We estimate that you will have at least 5 years' experience in a relevant technical role and you will have many of the following technical skills: Active Directory. Windows 11, Windows Server (2019 / 2022 / 2025). Solid PowerShell scripting skills for automation. Experience with endpoint management tools: SCCM. Microsoft Intune (OS and application deployment/management). Familiarity with Linux command line environments. Working knowledge of version control systems (e.g., Git). Basic understanding of networking concepts and Cisco CLI commands. High proficiency with Microsoft Office applications. Due to the nature of the role, you will be occasionally required to move, lift, rack and install equipment (pc's, switches, servers). Personality and Soft Skills As this role involves regular interaction with, and providing support to our employees, we are seeking an individual that is: Personable and enthusiastic with a genuine desire to enable staff to take full advantage of their IT systems. Able to explain technical concepts and events to non technical staff members. Articulate, numerate and capable of negotiating high value technology equipment and services. Able to reason logically and consistently deliver under pressure. Able to spot new opportunities and follow through with them. Onboarding Note To set our new hire up for success, we envisage that you would need to spend significant chunks of time at our London HQ to onboard with our existing team and learn how we approach end user computing. This could be a few months at the beginning, reducing thereafter to less regular trips. Alternatively, this could be a few weeks at the start and regular periods (2 weeks in every 4) thereafter. XTX would cover all associated costs.
XTX Markets
Software Engineer - Trading Data Technology The Firm XTX Markets is a leading algorithmic trading firm which uses state of the art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state of the art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximise the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large scale data centre in Finland to future prove its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organisation which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non hierarchical and one where everyone is valued. We strive for excellence in everything we do. The Role The Trading Data Technology is a new team at XTX Markets: it is responsible for the design, implementation, and operation of the firm's Trading Data platform. The platform is an early stage / greenfield build. Its initial projects will be centred around standardising the capture of the firm's order data, as well as how we make it available to systems and users. This system is designed to be highly available, handling hundreds of millions of messages a day in real time. There will also be multiple forms of storage to support the platform's various stakeholders, including Kafka, column store databases and S3 like files. Developers at XTX are engaged in the entire software development lifecycle of software development. Developers work closely with other teams to gather requirements, before implementing, delivering and supporting their solutions. The Trading Data Technology team will be based in London. However, stakeholders to the platform exist in multiple locations including London, New York & Singapore. There is currently a shared support rota with the Post Trade Technology team, which includes weekend on call every 10 weeks. Back end services are built in Go with some additional web based GUI development in React. Engineers at XTX adopt a tech agnostic approach, opting for the best tool for each specific task. We do not expect candidates to have prior experience in front end programming or Golang, but it is essential that you are open minded to using new technologies as appropriate. Communicate across front and back office teams and users of the platform to understand wider business requirements and convert them into scalable, technical solutions. There is currently a shared support rota with the Post Trade Technology team, which includes weekend on call every 10 weeks. This is the 2nd hire for the team, and the hire will be expected to own the design and development for their projects. A solid grounding in academic CS fundamentals, algorithms and data structures. Demonstrated commitment to rigorous software engineering discipline. Strong proficiency in a statically typed language. Prior experience with Golang is desirable, but certainly not required. Similarly, experience with front end programming is not required. Desire to take ownership over projects and complex technical challenges. Familiarity with concurrent programming techniques and exposure to asynchronous, distributed systems. Understand database performance characteristics including indexing, query execution, with experience designing and optimising schemas and queries. Finance experience is not required, but the role will rapidly entail becoming a subject matter expert in the domain. We are targeting approximately 3 to 5 years' experience. We view applications holistically and do have some flexibility around exact experience level. Please note that, whilst this role will involve significant ownership over projects; it is likely not suitable for those targeting a leadership position. Onsite gym, sauna, and fitness classes at no charge. Extensive medical benefits including an onsite doctor and therapist at no charge. Breakfast and lunch provided daily. Various supports for caregivers, including emergency dependent care. 25 days paid holiday per year + statutory holiday and paid sick days. We currently operate 4 days a week in office, 1 from home.
Software Engineer - Trading Data Technology The Firm XTX Markets is a leading algorithmic trading firm which uses state of the art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state of the art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximise the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large scale data centre in Finland to future prove its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organisation which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non hierarchical and one where everyone is valued. We strive for excellence in everything we do. The Role The Trading Data Technology is a new team at XTX Markets: it is responsible for the design, implementation, and operation of the firm's Trading Data platform. The platform is an early stage / greenfield build. Its initial projects will be centred around standardising the capture of the firm's order data, as well as how we make it available to systems and users. This system is designed to be highly available, handling hundreds of millions of messages a day in real time. There will also be multiple forms of storage to support the platform's various stakeholders, including Kafka, column store databases and S3 like files. Developers at XTX are engaged in the entire software development lifecycle of software development. Developers work closely with other teams to gather requirements, before implementing, delivering and supporting their solutions. The Trading Data Technology team will be based in London. However, stakeholders to the platform exist in multiple locations including London, New York & Singapore. There is currently a shared support rota with the Post Trade Technology team, which includes weekend on call every 10 weeks. Back end services are built in Go with some additional web based GUI development in React. Engineers at XTX adopt a tech agnostic approach, opting for the best tool for each specific task. We do not expect candidates to have prior experience in front end programming or Golang, but it is essential that you are open minded to using new technologies as appropriate. Communicate across front and back office teams and users of the platform to understand wider business requirements and convert them into scalable, technical solutions. There is currently a shared support rota with the Post Trade Technology team, which includes weekend on call every 10 weeks. This is the 2nd hire for the team, and the hire will be expected to own the design and development for their projects. A solid grounding in academic CS fundamentals, algorithms and data structures. Demonstrated commitment to rigorous software engineering discipline. Strong proficiency in a statically typed language. Prior experience with Golang is desirable, but certainly not required. Similarly, experience with front end programming is not required. Desire to take ownership over projects and complex technical challenges. Familiarity with concurrent programming techniques and exposure to asynchronous, distributed systems. Understand database performance characteristics including indexing, query execution, with experience designing and optimising schemas and queries. Finance experience is not required, but the role will rapidly entail becoming a subject matter expert in the domain. We are targeting approximately 3 to 5 years' experience. We view applications holistically and do have some flexibility around exact experience level. Please note that, whilst this role will involve significant ownership over projects; it is likely not suitable for those targeting a leadership position. Onsite gym, sauna, and fitness classes at no charge. Extensive medical benefits including an onsite doctor and therapist at no charge. Breakfast and lunch provided daily. Various supports for caregivers, including emergency dependent care. 25 days paid holiday per year + statutory holiday and paid sick days. We currently operate 4 days a week in office, 1 from home.