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Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: As a Windows Platform Server Engineer, you will be part of the Global Infrastructure Team, responsible for designing, building, and supporting Microsoft Windows Server and virtualization infrastructure. Your role is critical in ensuring the smooth operation of core IT services that underpin research technology, trading platforms, market execution, and data processing. Responsibilities Evaluate, recommend, and implement new technologies to enhance reliability, scalability, and security. Build, manage, and deploy all technologies related to the on-premises Windows Server stack, including OS, observability, backups, and identity services. Configure and maintain monitoring and dashboarding tools to track server and application performance. Build, manage, and deploy Windows Server environments (2022–2025). Build, deploy, and monitor a globally distributed, multi-forest Active Directory environment. Manage and configure tools such as Splunk, Configure and manage Active Directory, Group Policy, and Entra ID integration to enforce security and access policies. Automate server management using PowerShell, Ansible, and Terraform for provisioning, configuration, and maintenance. Optimise and troubleshoot server backups to ensure data integrity and disaster recovery readiness. Utilise SIEM tools to monitor and manage server security and performance. Work with storage technologies (SAN/NAS) to ensure efficient integration and high availability. Build manage and deploy VMMware ESXi services, clustering, infrastructure and network concepts. Develop and maintain technical documentation, architecture designs, and support materials. Solid understanding of networking concepts Support and optimise Citrix DaaS, Azure, Microsoft 365, and Intune environments. Provide 2nd-line support and act as 3rd-line escalation for all Windows Server and application-related issues. Provide cross-functional troubleshooting support when required. Stay informed about market trends and emerging technologies to identify strategic improvement opportunities. Your present skillset: Extensive experience designing, deploying, and managing Windows Server environments, including large-scale enterprise migrations. Strong expertise in Active Directory, Group Policy, and DNS design, implementation, and advanced troubleshooting. Advanced PowerShell scripting skills for automation, OS builds, patching, and infrastructure optimisation. Deep understanding of Windows Update processes, enterprise patch management, and security hardening best practices. Experience with configuration management tools such as Ansible. Experience with backup tools such as Veem. Experience managing cloud infrastructure, including AWS EC2 and Azure. Strong troubleshooting expertise across Windows 10/11 client operating systems. Solid cloud platform experience with Azure, Entra ID, Microsoft 365, and Intune. Experience supporting and optimising Citrix DaaS / VDI environments. Experience supporting and optimising ESXi environments. Strong knowledge of networking concepts, certificate services (PKI), and infrastructure security. Experience with performance monitoring and optimisation of Windows servers, desktops, and virtual machines. Excellent communication skills with the ability to work independently, prioritise workloads, and contribute effectively to cross-functional projects Occasional weekend shifts and out-of-hours coverage may be required to ensure continuous support. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: Create high quality Crypto signals on various exchanges and platforms. Monitor your own trading, strategy performance and all relevant risks. Your core objective is to create high quality predictive signals. By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. Share and discuss research results, methodology, data sets and processes with other researchers. Implement the signals and the relevant datasets within the global execution platform. Monitor signal behaviour and model performance over time within your strategies. You would lead the full strategy research cycle from signal generation to implementation. Your present skillset: Proven track record in delivering successful Crypto systematic strategies. Minimum 2 years of experience in the financial industry. Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering. Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus. Capacity to multi-task in a fast-paced environment while keeping strong attention to detail. Good fundamental crypto knowledge is a plus. Experience with one or more of the below is a plus: Crypto specific data sets, DeFi, latency-sensitive, ML/AI or strategies in production Coding skills required in at least one leading programming language, Python preferred, C++ is beneficial. Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields. Capacity to work with autonomy within a collegial and collaborative environment. Strong capacity to communicate with technologists, data scientists and traders across the globe. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.

Location: Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Your core objective is to deliver high-quality analytics of trading and production data, with a focus on ensuring the accuracy and integrity of the data used in decision-making. You will manage and maintain the data processes, ensuring smooth data flow across systems and resolving any discrepancies promptly with the trading support team. You will respond to inquiries related to financial metrics and trading data, providing clear and accurate insights to traders, researchers, and senior management. Your present skillset You hold an advanced degree in a quant itative field such as data science, statistics, mathematics, physics, or engineering. You have strong coding skills in Python and SQL, with the ability to efficiently work with and manage large datasets. Prior experience in a financial institution or audit firm is a plus. You possess excellent communication skills, allowing you to clearly explain complex data issues and methodologies to both technical and non-technical audiences. Your enhanced experience and learning opportunities at QRT Mentorship from industry professionals Detailed practical hands-on experience with portfolio management and analysis Contribution to high level decision making on global businesses Exposure to large scale data analysis technology Experience in a collaborative and collegial corporate environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. This team is integral to the firm’s success. We are seeking a technically skilled Data Support Engineer to support quantitative researchers and traders in navigating and using extensive datasets. You will support all data users, contribute to documentation, and ensure data quality. Your future role within QRT Provide first-line support to researchers and traders for data access ad usage. Collaborate with data engineers to resolve data issues. Onboard new hires and train them on using data tools and processes efficiently. Manage JIRA workflows, track support requests, and ensure timely resolution of data issues. Contribute to data documentation. Contribute to extending data coverage (live collection and backfills) Your present skillset A bachelor’s degree in Data Science, Computer Science, Finance, or a related field. Experience in data support, IT helpdesk, or technical support, ideally within finance. Strong command of Python and data libraries. Proficiency with data systems, pipelines, and APIs. Experience with JIRA or similar project management tools. Strong problem-solving skills, communication abilities, and attention to detail. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Hong Kong, Sydney Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: As part of the next phase of QRT's development, we are rolling out hardware platforms to accelerate our trading systems. FPGA development will be at the heart of many of these systems with a focus on high frequency trading. We are looking for talented hardware engineers with a track record of achievement in any domain. You may have experience in finance and trading, but it is not essential. You enjoy solving complex system problems where hardware and software come together to provide high performance solutions. You will have the opportunity to work with the latest technologies and have your voice heard in this fast-paced firm. Working with trading teams, you will take ownership of: Translating trading ideas into the most appropriate solutions Develop RTL on the latest FPGAs with modern design flows Following through into production, analysing results and optimising Your present skillset: At least 10+ years' of experience in a similar role; experience as a Technical Lead/ Manager is a plus Deep understanding of FPGA architecture leading to efficient designs Full lifecycle RTL development including automated verification Python scripting Working knowledge of C/C++ development Ability to see through complexity to identify simple solutions A realisation that good teamwork is essential to modern development QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will join the data i nfrastructure team dedicated to the ingestion, processing and serving of large amounts of data at scale. Data is at the heart of everything QRT does , with exponentially growing needs. The candidate will push the edges of one of the most demanding data systems in the world , working on a variety of subjects such as real time pub sub , sharded databases and so on. Your future role within QRT: Design, review and implement services and clients. Consistently apply and help evolve coding best practices: review peer code, lead or participate in design reviews, with a focus on code quality, testability, and efficiency. Work with stakeholders and customers to understand their business needs, technical needs, and react accordingly. Triage and investigate system issues and debug/track/resolve to ensure the robustness of our operations. Your present skillset: Excellent knowledge of algorithms and data structures, as well as system design. Proficiency in at least one prominent server-side programming language ( Rust , C++, Go, Java, etc…). Experience writing high performance server code, multithreading, caching strategies, asynchronous IO, etc... An overall understanding of the big data landscape, knowing the design, strengths and drawbacks of tools such as Elasticsearch, Kafka, BigTable, Cassandra etc… Excellent communication and writing skills, with the ability to work effectively across teams and departments. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Your core objective is to create high quality predictive signals. By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. Share and discuss research results, methodology, data sets and processes with other researchers. Implement the signals and the relevant datasets within the global execution platform. Monitor signal behaviour and model performance over time. You would lead the full strategy research cycle from signal generation to implementation. Your present skillset Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering. Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus. Capacity to multi-task in a fast paced environment while keeping strong attention to detail. Coding skills required in at least one leading programming language (Python, R, Matlab and /or C++, C#). Experience in exploring large datasets across multiple time frames is a plus. Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields. Capacity to work with autonomy within a collegial and collaborative environment. Strong capacity to communicate with technologists, data scientists and traders across the globe. Proven track record in delivering successful systematic strategies. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Zurich Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Your core objective is to create high quality predictive signals. By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. Share and discuss research results, methodology, data sets and processes with other researchers. Implement the signals and the relevant datasets within the global execution platform. Monitor signal behaviour and model performance over time. You would lead the full strategy research cycle from signal generation to implementation. Your present skillset Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering. Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus. Capacity to multi-task in a fast paced environment while keeping strong attention to detail. Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#). Experience in exploring large datasets across multiple time frames is a plus. Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields. Capacity to work with autonomy within a collegial and collaborative environment. Strong capacity to communicate with technologists, data scientists and traders across the globe. Proven track record in delivering successful systematic strategies. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Dubai Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Your core objective is to create high quality predictive signals. By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. Share and discuss research results, methodology, data sets and processes with other researchers. Implement the signals and the relevant datasets within the global execution platform. Monitor signal behaviour and model performance over time. You would lead the full strategy research cycle from signal generation to implementation. Your present skillset Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering. Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus. Capacity to multi-task in a fast paced environment while keeping strong attention to detail. Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#). Experience in exploring large datasets across multiple time frames is a plus. Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields. Capacity to work with autonomy within a collegial and collaborative environment. Strong capacity to communicate with technologists, data scientists and traders across the globe. Proven track record in delivering successful systematic strategies. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London Your future role within QRT Your core objective is to create high quality predictive signals. By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. Share and discuss research results, methodology, data sets and processes with other researchers. Implement the signals and the relevant datasets within the global execution platform. Monitor signal behaviour and model performance over time. You would lead the full strategy research cycle from signal generation to implementation. Your present skillset Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering. Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus. Capacity to multi-task in a fast paced environment while keeping strong attention to detail. Coding skills required in at least one leading programming language (Python, R, Matlab and /or C++, C#). Experience in exploring large datasets across multiple time frames is a plus. Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields. Capacity to work with autonomy within a collegial and collaborative environment. Strong capacity to communicate with technologists, data scientists and traders across the globe. Proven track record in delivering successful systematic strategies.

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Your core objective is to deliver high quality analytics of trading and production data and provide senior management with strategic outputs Develop new reports and analysis tools in order to help traders and researchers manage their risk on a daily basis Leverage your trading and market expertise by sharing production results and methodology with other traders and researchers Contribute to portfolio management through periodic strategic deep dives and improved continuous monitoring Your present skillset Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Coding skills required in at least one programming language (e.g. Python + SQL, VBA) and capacity to work on large datasets Experience in finance is a plus Excellent communication skills Your enhanced experience and learning opportunities at QRT Mentorship from industry professionals Detailed practical hands-on experience with portfolio management and analysis Contribution to high level decision making on global businesses Exposure to large scale data analysis technology Experience in a collaborative and collegial corporate environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Your core objective is to deliver high quality analytics of trading and production data and provide senior management with strategic outputs Develop new reports and analysis tools in order to help traders and researchers manage their risk on a daily basis Leverage your trading and market expertise by sharing production results and methodology with other traders and researchers Contribute to portfolio management through periodic strategic deep dives and improved continuous monitoring Your present skillset Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Coding skills required in at least one programming language (e.g. Python + SQL, VBA) and capacity to work on large datasets Experience in finance is a plus Excellent communication skills Your enhanced experience and learning opportunities at QRT Mentorship from industry professionals Detailed practical hands-on experience with portfolio management and analysis Contribution to high level decision making on global businesses Exposure to large scale data analysis technology Experience in a collaborative and collegial corporate environment

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Own the architecture and technical direction of crypto market connectivity, supporting QRT’s trading activities across digital asset exchanges and liquidity providers. Lead the design, development, validation, deployment and production support of low-latency trading gateways and market data handlers for crypto venues. Oversee market data ingestion, sequencing, normalisation, order book construction and downstream distribution across fragmented venues with differing protocols and data standards. Own exchange integrations, connectivity upgrades and venue onboardings, including gap analysis, implementation and testing, working directly with exchanges and third-party providers. Develop frameworks for data quality monitoring, gap detection, reconciliation, recovery and replay, addressing inconsistent schemas and varying levels of data quality across venues. Drive improvements in latency, throughput, resilience and operational stability within a 24/7 trading environment, defining technical KPIs and operational metrics to measure progress. Partner with traders, quantitative researchers and developers to deliver reliable market data and execution connectivity that support crypto trading strategies. Scale connectivity systems to support new exchanges, digital assets, spot and derivatives products, and evolving market structures. Work closely with infrastructure, operations, compliance and risk teams to ensure effective integration with upstream and downstream systems. Mentor and develop engineers, establishing high standards for technical ownership, code quality and delivery. Your present skillset Significant experience building low-latency trading infrastructure, with strong experience in crypto exchange connectivity or digital asset trading systems. Expert-level C++ development experience on Linux, alongside strong Python and bash scripting skills. Deep expertise in exchange trading gateways, market data feed handlers or connectivity platforms. Strong understanding of crypto exchange architecture and connectivity across major venues such as Binance, OKX, Bybit etc. Experience with exchange APIs and protocols, including WebSocket, REST, FIX and binary protocols where available. Experience designing and implementing real-time distributed systems, with strong knowledge of networking, multithreading, concurrency and memory optimisation. Strong understanding of market data sequencing, normalisation, order book construction and replay mechanisms. Experience implementing recovery and reconciliation processes to manage unreliable data sources, connectivity interruptions and exchange-specific behaviours. Good knowledge of crypto market structure, liquidity fragmentation, spot markets and derivatives, including perpetual futures. Proven ability to lead technical initiatives, influence architectural decisions and mentor engineers while remaining hands-on. A track record of delivering production systems with measurable improvements in performance, reliability or trading capability. Excellent communication and problem-solving skills, with the ability to collaborate effectively across engineering, trading, quantitative research and operational teams. Experience with decentralised exchange connectivity or traditional market access systems would be advantageous. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Singapore/Hong Kong/Shanghai Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Your core objective is to create high quality predictive signals By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities Share and discuss research results, methodology, data sets and processes with other researchers Implement the signals and the relevant datasets within the global execution platform Monitor signal behaviour and model performance over time You would lead the full strategy research cycle from signal generation to implementation Your present skillset Direct experience as a quant researcher or trader, or in data science/machine learning space. Students and fresh graduate applicants will be rejected, please apply our internship/graduate positions instead. Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced environment while keeping strong attention to detail Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#) Experience in exploring large datasets across multiple time frames is a plus Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields Capacity to work with autonomy within a collegial and collaborative environment Strong capacity to communicate with technologists, data scientists and traders across the globe Proven track record in delivering successful systematic strategies QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Mumbai Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. Your future role within QRT Your core objective is to create high-quality predictive signals. By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. Share and discuss research results, methodology, data sets and processes with other researchers. Implement the signals and the relevant datasets within the global execution platform. Monitor signal behaviour and model performance over time. You would lead the full strategy research cycle from signal generation to implementation. Your present skillset Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering. Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus. Capacity to multi-task in a fast paced environment while keeping strong attention to detail. Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#). Experience in exploring large datasets across multiple time frames is a plus. Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields. Capacity to work with autonomy within a collegial and collaborative environment. Strong capacity to communicate with technologists, data scientists and traders across the globe. Proven track record in delivering successful systematic strategies. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.