A leading technology company in Greater London is seeking a skilled Systems Administrator to ensure the smooth operation of its enterprise IT infrastructure. The role focuses on platform operations, endpoint management, and building automation tools to enhance service delivery. Candidates should have 3-5+ years of relevant experience, proficiency in macOS and Windows, and strong problem-solving abilities. This hybrid position allows for both onsite and remote work in a fast-paced environment.
05/06/2026
Full time
A leading technology company in Greater London is seeking a skilled Systems Administrator to ensure the smooth operation of its enterprise IT infrastructure. The role focuses on platform operations, endpoint management, and building automation tools to enhance service delivery. Candidates should have 3-5+ years of relevant experience, proficiency in macOS and Windows, and strong problem-solving abilities. This hybrid position allows for both onsite and remote work in a fast-paced environment.
Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Voleon is looking for a Systems Administrator to join our Corporate IT Services (Corp-ITS) team and play a critical role in the operation, support, and continuous improvement of our enterprise IT infrastructure. This position emphasizes platform operations, endpoint management, and technical support, while also building automation and tooling to streamline IT service delivery across the organization. In this role, you will be directly involved in supporting the firm's software engineering, quantitative research, and financial operations teams. You will balance day-to-day operational excellence with hands on user support, serving as an escalation resource and coach for the End User Support team while helping to drive efficiency through automation in a fast paced, high performance environment. This is a hybrid role based in our London, UK office. Responsibilities Manage SaaS platforms (Microsoft 365/Entra ID, Slack, Zoom) including user administration, provisioning, and license management Provide technical support and escalation for the End User Support team. Resolve complex issues, assist with challenging requests, and coach service desk engineers Own employee technology lifecycle including provisioning workflows, hardware inventory, device refresh programs, and secure offboarding Maintain IT infrastructure including backup systems, server operations, and network services in partnership with Engineering Administer endpoint management platforms (Jamf Pro, Intune) including policies, software deployment, security enforcement, and fleet updates Build automation and tooling using scripting (PowerShell, Python, Bash) to streamline operations and reduce manual work Create operational documentation (runbooks, standards, guides). Partner with Engineering on infrastructure projects Requirements 3-5+ years in IT systems administration, platform operations, and user support Strong proficiency in macOS and Windows endpoint administration Solid experience with endpoint management platforms (Jamf Pro, Intune) Working knowledge of Microsoft 365/Entra ID administration Proficiency in at least one scripting language (PowerShell, Python, Bash) Understanding of networking (TCP/IP, DNS, DHCP, VPN, Wi Fi) and directory services (Active Directory, Entra ID, LDAP) Familiarity with backup and disaster recovery solutions (Veeam, Time Machine) Experience with collaboration platforms (Slack, Zoom, Google Workspace) Strong problem solving and diagnostic skills. Excellent communication for coaching team members Ability to manage multiple priorities and balance operational work with support requests Customer focused, service oriented, with the ability to work in a team environment Preferred Qualifications Atlassian suite (Jira, Confluence, JSM) background Apple Business Manager and DEP/ADE experience Linux administration (RHEL, Ubuntu) IT certifications (ACSP, Microsoft 365, Jamf, CompTIA) Experience mentoring or coaching junior IT staff Financial services or regulated industry experience Friends of Voleon Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
05/06/2026
Full time
Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Voleon is looking for a Systems Administrator to join our Corporate IT Services (Corp-ITS) team and play a critical role in the operation, support, and continuous improvement of our enterprise IT infrastructure. This position emphasizes platform operations, endpoint management, and technical support, while also building automation and tooling to streamline IT service delivery across the organization. In this role, you will be directly involved in supporting the firm's software engineering, quantitative research, and financial operations teams. You will balance day-to-day operational excellence with hands on user support, serving as an escalation resource and coach for the End User Support team while helping to drive efficiency through automation in a fast paced, high performance environment. This is a hybrid role based in our London, UK office. Responsibilities Manage SaaS platforms (Microsoft 365/Entra ID, Slack, Zoom) including user administration, provisioning, and license management Provide technical support and escalation for the End User Support team. Resolve complex issues, assist with challenging requests, and coach service desk engineers Own employee technology lifecycle including provisioning workflows, hardware inventory, device refresh programs, and secure offboarding Maintain IT infrastructure including backup systems, server operations, and network services in partnership with Engineering Administer endpoint management platforms (Jamf Pro, Intune) including policies, software deployment, security enforcement, and fleet updates Build automation and tooling using scripting (PowerShell, Python, Bash) to streamline operations and reduce manual work Create operational documentation (runbooks, standards, guides). Partner with Engineering on infrastructure projects Requirements 3-5+ years in IT systems administration, platform operations, and user support Strong proficiency in macOS and Windows endpoint administration Solid experience with endpoint management platforms (Jamf Pro, Intune) Working knowledge of Microsoft 365/Entra ID administration Proficiency in at least one scripting language (PowerShell, Python, Bash) Understanding of networking (TCP/IP, DNS, DHCP, VPN, Wi Fi) and directory services (Active Directory, Entra ID, LDAP) Familiarity with backup and disaster recovery solutions (Veeam, Time Machine) Experience with collaboration platforms (Slack, Zoom, Google Workspace) Strong problem solving and diagnostic skills. Excellent communication for coaching team members Ability to manage multiple priorities and balance operational work with support requests Customer focused, service oriented, with the ability to work in a team environment Preferred Qualifications Atlassian suite (Jira, Confluence, JSM) background Apple Business Manager and DEP/ADE experience Linux administration (RHEL, Ubuntu) IT certifications (ACSP, Microsoft 365, Jamf, CompTIA) Experience mentoring or coaching junior IT staff Financial services or regulated industry experience Friends of Voleon Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Voleon is a technology company that applies state of the art AI and machine learning techniques to real world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, and more. The Voleon Group is forming a new team to help advance our data driven investment initiatives. As a Data Scientist, you will be responsible for finding insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and leadership. This role is a means to make a difference: as a machine learning company, data insights are essential to our business. Responsibilities Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders Perform extemporaneous analyses on research and production trading systems with leadership Perform statistical analyses on production trading data and research data to inform further projects Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring Requirements 1+ years of applied end to end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions Ability to frame and answer questions mathematically Ability to infer useful forward looking directions from results of retrospective analysis Fluency in managing, processing, and visualizing tabular data using a combination of SQL, polars, and R Basic software development skills and experience with bash, linux/unix, and git Ability to refine requirements from ambiguous requests. Excellence in communication and ability to produce complete and clear reports Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field) Clarity of mind is not optional Preferred Qualifications Master's degree in a quantitative discipline Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships Experience developing in a production facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, Airflow Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
24/05/2026
Full time
Voleon is a technology company that applies state of the art AI and machine learning techniques to real world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, and more. The Voleon Group is forming a new team to help advance our data driven investment initiatives. As a Data Scientist, you will be responsible for finding insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and leadership. This role is a means to make a difference: as a machine learning company, data insights are essential to our business. Responsibilities Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders Perform extemporaneous analyses on research and production trading systems with leadership Perform statistical analyses on production trading data and research data to inform further projects Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring Requirements 1+ years of applied end to end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions Ability to frame and answer questions mathematically Ability to infer useful forward looking directions from results of retrospective analysis Fluency in managing, processing, and visualizing tabular data using a combination of SQL, polars, and R Basic software development skills and experience with bash, linux/unix, and git Ability to refine requirements from ambiguous requests. Excellence in communication and ability to produce complete and clear reports Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field) Clarity of mind is not optional Preferred Qualifications Master's degree in a quantitative discipline Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships Experience developing in a production facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, Airflow Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
The Voleon Group is seeking a Data Scientist to join our new team focused on data-driven investment initiatives. This role entails analyzing complex data sets, conducting statistical analyses, and ensuring data correctness. As a key player in our R&D efforts, you will communicate insights to stakeholders. The ideal candidate will have at least 1 year of relevant experience, a bachelor's in a quantitative field, and fluency in SQL and R. Join us and contribute to advancing AI in finance.
23/05/2026
Full time
The Voleon Group is seeking a Data Scientist to join our new team focused on data-driven investment initiatives. This role entails analyzing complex data sets, conducting statistical analyses, and ensuring data correctness. As a key player in our R&D efforts, you will communicate insights to stakeholders. The ideal candidate will have at least 1 year of relevant experience, a bachelor's in a quantitative field, and fluency in SQL and R. Join us and contribute to advancing AI in finance.
Voleon is a technology company that applies state of the art AI and machine learning techniques to real world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, and more. The Voleon Group is forming a new team to help advance our data driven investment initiatives. As a Data Scientist, you will be responsible for finding insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and leadership. This role is a means to make a difference: as a machine learning company, data insights are essential to our business. Responsibilities Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders Perform extemporaneous analyses on research and production trading systems with leadership Perform statistical analyses on production trading data and research data to inform further projects Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring Requirements 1+ years of applied end to end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions Ability to frame and answer questions mathematically Ability to infer useful forward looking directions from results of retrospective analysis Fluency in managing, processing, and visualizing tabular data using a combination of SQL, polars, and R Basic software development skills and experience with bash, linux/unix, and git Ability to refine requirements from ambiguous requests. Excellence in communication and ability to produce complete and clear reports Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field) Clarity of mind is not optional Preferred Qualifications Master's degree in a quantitative discipline Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships Experience developing in a production facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, Airflow Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
23/05/2026
Full time
Voleon is a technology company that applies state of the art AI and machine learning techniques to real world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, and more. The Voleon Group is forming a new team to help advance our data driven investment initiatives. As a Data Scientist, you will be responsible for finding insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and leadership. This role is a means to make a difference: as a machine learning company, data insights are essential to our business. Responsibilities Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders Perform extemporaneous analyses on research and production trading systems with leadership Perform statistical analyses on production trading data and research data to inform further projects Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring Requirements 1+ years of applied end to end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions Ability to frame and answer questions mathematically Ability to infer useful forward looking directions from results of retrospective analysis Fluency in managing, processing, and visualizing tabular data using a combination of SQL, polars, and R Basic software development skills and experience with bash, linux/unix, and git Ability to refine requirements from ambiguous requests. Excellence in communication and ability to produce complete and clear reports Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field) Clarity of mind is not optional Preferred Qualifications Master's degree in a quantitative discipline Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships Experience developing in a production facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, Airflow Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
The Voleon Group is looking for a Data Scientist to join their new team for data-driven investment initiatives. The role involves data curation, analysis, and visualization, crucial for driving business insights in a machine learning context. Candidates should have at least 1 year of experience working with complex datasets and possess a bachelor's degree in a quantitative discipline. The position offers competitive compensation and a collaborative work environment.
22/05/2026
Full time
The Voleon Group is looking for a Data Scientist to join their new team for data-driven investment initiatives. The role involves data curation, analysis, and visualization, crucial for driving business insights in a machine learning context. Candidates should have at least 1 year of experience working with complex datasets and possess a bachelor's degree in a quantitative discipline. The position offers competitive compensation and a collaborative work environment.