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 behavior and model performance over time within your strategies. You would lead the full strategy research cycle from signal generation to implementation. Your present skillset: Min 3 years of relevant experience with strong track record. 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.

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 behavior and model performance over time within your strategies. 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.

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.As a Project Manager - Data Integration, you will oversee the planning, execution, and delivery of data integration projects. This team will work closely with data engineers, researchers, and business stakeholders to ensure projects are completed on schedule, within scope, and aligned with business objectives. Your future role within QRT Lead and oversee data integration projects, ensuring timely and successful delivery.Define project scope, goals, and deliverables in collaboration with key stakeholders.Coordinate with engineering teams to track progress, mitigate risks, and resolve project roadblocks.Monitor and report on KPIs, project metrics, and risk assessments to ensure alignment with business objectives.Maintain clear communication with global teams, ensuring transparency and collaboration.Continuously optimize project management processes for efficiency and scalability. Your present skillset Bachelor s degree in Computer Science, Information Technology, or a related field.5-10 years of experience in software project management, preferably in data integration or financial environments.Strong leadership, communication, and stakeholder management skills.Proven ability to manage multiple projects simultaneously while maintaining attention to detail.Experience working with global teams in a fast-paced, data-driven environment.Familiarity with financial markets and trading systems is a plus.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.

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. As an Infrastructure Support Engineer (AWS), you will play a key role in maintaining, optimizing, and securing cloud infrastructure to support critical business operations. The team work closely with development teams, DevOps, and system administrators to ensure seamless cloud functionality.Your future role within QRT Maintain a highly available, scalable, and secure AWS infrastructure.Diagnose and resolve complex AWS infrastructure issues efficiently.Develop scripts using Terraform, CloudFormation, and other automation tools.Monitoring and optimizing performance and cost-effectiveness of cloudCollaborating with development teams to support deployment and operation of applications on AWS.Evaluating and recommending new technologies to improve the reliability, scalability, and security of the companys cloud infrastructure.Your present skillset Extensive experience with AWS, including experience with EC2, S3, VPC, and other core services.Proficiency with scripting languages (e.g. Python, Bash)Hands-on experience with configuration management tools (e.g. Ansible, Terraform).Experience with containers and orchestration technologies (e.g. Docker, ECS, Kubernetes)Ability to diagnose software errors, AWS configuration issues, and resolve incidents efficiently.Familiarity with agile software development methodologiesExperience with working and troubleshooting with Windows and Linux OS administration.Proven ability to analyze and resolve complex cloud issues independently.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.

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. As a Senior Software Engineer on our Market Access team, you will design and develop high-performance systems that drive our trading capabilities. Your future role within QRT Build high-performance, low-latency C++ applications for trading.Work with traders, FPGA engineers, DevOps, and other teams to create seamless solutions.Write clean, maintainable code and participate in code reviews, debugging, and optimization.Lead discussions on system design, ensuring alignment with business and technology goals. Partner with system administrators and network engineers to optimize deployments.Mentor team members in best practices and contribute to the continuous improvement of our software development processes. Your Present Skillset Experience in C++ development (C++11/14/17/20), and multithreaded, high-performance applications on Linux. Demonstrated experience in system-level architecture design for trading or other performance-critical environments. Strong understanding of low-latency techniques, system profiling, and tuningPrevious experience as a people manager or technical lead, demonstrate examples of leading engineers on different projectsFamiliarity with advanced debugging tools and performance analysis techniques. Understanding of financial products and trading systems is preferred. 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.

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. As a Senior C++ Low-Latency Developer, you ll design, develop, and optimize low-latency trading systems. The team builds trading infrastructure, execution gateways, and simulation environments that power QRT s global strategies. Your future role within QRT Design, develop, and optimize ultra-low-latency components for QRT s trading strategies. Build and enhance core trading systems, back testing engines, exchange simulators, and execution gateways. Optimize multithreaded and distributed systems for latency-sensitive applications. Work closely with researchers, traders, and operations teams to develop advanced trading solutions. Ensure top-tier performance, reliability, and scalability in a competitive trading environment. Your present skillset 7+ years of experience in low-latency development using C++, STL, and Boost on Linux. Proven experience in designing and implementing multithreaded and distributed systems for high-performance computing. Strong understanding of distributed network architecture and low-level optimization techniques on Linux x86/64 platforms. Familiarity building trading application is plus Experience working within a mature continuous development process in a fast-paced, mission-critical environment. Strong problem-solving skills, attention to detail, and the ability to work collaboratively in a high-performance global team

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. As an Infrastructure Support Analyst (AWS), you will help maintain and troubleshoot cloud infrastructure, ensuring smooth operations for trading, research, and business teams. Your future role at QRT : Design, build, and support a variety of cloud-based services and solutions. Collaborate closely with trading, research, and wider business teams to drive adoption of cloud-based services. Implement a cloud-first approach to problem solving. Work on critical infrastructure that supports research technology, trading tools, market execution, and data processing across the firm. Your Present Skillset: 2+ years of AWS Cloud experience, including key services (EC2, S3, VPC, etc.). Strong scripting skills (e.g., Python, Bash). Familiarity with containers and orchestration (e.g. Docker, ECS, Kubernetes). Experience using configuration management tools (e.g. Ansible, Terraform). Familiarity with Linux & Windows OS. Interested and excited to work in infrastructure engineering and platform teams. Excellent problem solving and strong business analytics capabilities is essential Cloud and Linux certifications are a plus.