Qube Research & Technologies jobs

Research Programmes and Operations Lead 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. Join QRT Academy as a Research Programmes & Operations Lead in London. QRT Academy brings together QRT's training and development initiatives, academic engagement, and research collaborations, connecting external research communities and talent with QRT and supporting their integration. In this role, you will lead the operational infrastructure that enables these programmes and partnerships to scale effectively across teams and regions. Your future role at QRT: - Lead the design and execution of operational frameworks underpinning QRT's global academic partnerships and research initiatives - Build and scale operational infrastructure that enables high-quality intellectual collaboration - Ensure effective delivery of programmes across institutions, teams, and regions - Own and manage the operational systems supporting academic partnerships, research programmes, events, and global initiatives - Oversee and optimise the contractual and administrative frameworks underpinning university collaborations and visiting researcher programmes - Translate programme activity into clear reporting and insights to support senior leadership - Own programme budgets and drive operational efficiency across regions - Build strong, trusted relationships with academic partners and internal stakeholders -

Quantitative Researcher 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

Crypto - Quantitative Researcher 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

Platform Engineer (Cloud) 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 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. The AWS Cloud Platform Engineering team designs and operates cloud-native platforms that support internal development teams across the firm. The team focuses on building and evolving an Internal Developer Platform that enables secure, automated, and self-service cloud capabilities. You will collaborate with Cloud Engineering, Security, and cloud users to improve developer experience and platform reliability. Your Future Role within QRT You will: - Design, develop, and manage platform APIs to automate cloud workflows and enable self-service capabilities - Build backend services in Go and/or Python to support automated provisioning and platform functionality - Write and maintain automated tests to ensure safe and reliable execution of platform workflows - Contribute to platform observability, including logging, monitoring, and tracing - Build and operate services on Kubernetes (EKS) - Collaborate with Cloud Engineering, Security, and internal users to deliver scalable and secure platform capabilities - Contribute to architectural and technical decisions as the platform evolves Your Present Skillset - 5+ years of experience as a Platform Engineer or in a similar role with a focus on AWS -

Software Engineer, Data Core 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 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. Join our Data team, responsible for providing high-quality reference data, internal and external reporting, and front-office analytics to support trading and research workflows. The team works closely with engineering, compliance, and quant stakeholders to ensure data flows are accurate, robust, and aligned with business needs. Your future role within QRT You will join QRT's Data team as a Software Engineer, working at the intersection of engineering, trading, and research. Your focus will be on delivering scalable systems for reference data management, regulatory and external reporting, and front-office analytics. This role offers direct visibility across the business and the opportunity to collaborate with stakeholders across Execution, Engineering, and Research teams. Every project you work on will contribute to operational efficiency and trading decision-making. - Design and develop scalable services to process and distribute reference data across asset types - Automate life cycle events such as corporate actions and coupon payments across instruments - Build and maintain systems for internal and external reporting (including end-of-day reporting, compliance, and regulatory) - Develop real-time and batch reporting infrastructure

Senior Network Automation Engineer 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 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. The global Infrastructure team designs, builds, and operates QRT's high-performance compute and research environments. The team focuses on automation, scalability, and reliability across datacentres and research platforms, working closely with engineering, storage, and research groups worldwide. Your Future Role within QRT You will help automate all aspects of a growing, cutting-edge datacentre and research platform. You will build tooling, pipelines, and guardrails that turn network intent into safe, repeatable outcomes for QRT's high-performance on-premise datacentre. - Design and evolve the network automation framework (source of truth, templating, validation, change control). - Build idempotent automation to provision and operate data centre fabrics at scale. - Integrate with vendor APIs and SDKs (e.g. Arista EOS, NetQ etc.) - Capture network intent as code, ensuring peer reviews and quality gates. - Instrument the network with telemetry, alerting, and SLOs to drive automated remediation. - Adhere to NetDevOps practices and share knowledge across the team. - Collaborate with network and platform engineers to translate designs into automated workflows. - Deliver frequent, incremental improvements through safe, tested changes. -

Quantitative Strategist 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 - 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

Software Engineer - Machine Learning 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 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 Software Engineer - ML you will focus on turning research outputs into robust, scalable, and well-operated production systems. You will directly contribute to our engineering platform and automation efforts that accelerate delivery, improve reliability, and raise the quality bar across the ML and research lifecycle. Your future role within QRT: - Collaborate closely with Research and Machine Learning engineers to transition prototypes into production-grade services, jobs, and pipelines. - Design, implement, maintain and support end-to-end research-to-production workflows (data/feature pipelines, training/inference jobs, batch processes, internal tooling). - Build and improve automation around packaging, configuration, and environment reproducibility. - Develop and maintain CI/CD pipelines to enforce code quality, testing, security checks, and smooth deployments. - Contribute to deployment and runtime operations (containers, orchestration, infrastructure integration), ensuring reliability, performance, and maintainability. - Implement monitoring, alerting, and observability (logs/metrics/traces) for production workloads; define operational runbooks and on-call support procedures when needed. - Troubleshoot and resolve integration and production issues, ensuring optimal performance, robustness, and reliability. - Create and maintain detailed documentation of system

FPGA Engineer Chicago 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: QRT are a rapidly growing hedge fund trading globally in competitive financial markets across Europe, the Middle East and Asia. As part of the next phase of 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 of finance and trading, but it is not essential. You probably enjoy solving complex system problems where hardware and software come together to provide high performance solutions. We are looking for a range of experience from graduates through to senior engineers, so your achievements may be in academia or industry. 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

Quantitative Researcher - Macro 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 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

Senior Detection and Response Engineer New York 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. Senior Detection and Response Engineer at Qube Research & Technologies (QRT) will be tasked with improving and optimizing our capability to effectively monitor, detect, respond, and remediate security incidents. You will be part of a global security team, implementing highly automated security operations processes and systems to meet dynamic company growth. You will have an opportunity to design and build systems from scratch, interact with various technologies, influence architecture, decide on specific technologies or tools, and work on cutting edge projects. As the security team, our top priority is to ensure that our data and assets are safeguarded using controls, which do not disrupt the business, whilst acting as an enabler. We work with many stakeholders at all levels across the business, including IT, Cloud and Engineering. QRT runs a hybrid technology stack across multiple data centers, extending to various locations across the public cloud. The combination of on-premises and Cloud allows us to achieve performance and low latency requirements, which are important for quantitative and systematic investments. Your future

2026 - Internship, Quantitative Research Houston Q-Tx LLC, based in Houston, Texas, is an independent commodities trading business, leveraging our passion for data, research, technology and trading expertise to deliver consistent and high-quality returns for our investors. We are affiliated with Qube Research and Technologies, a global quantitative and systematic investment manager. Your future role at Q-Tx As a Quantitative Research Intern, y our core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation. We're looking for interns who are curious, creative, and collaborative. If you're passionate about learning, excited to take on challenges, and ready to make a real impact, you'll find plenty of opportunities to grow with us. Your present skillset - Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering - High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus - Coding skills required in at least one leading programming language (Python and C++ or C#) - Experience in exploring large datasets across multiple time frames is a plus - Capacity to multi-task in a fast-paced environment while keeping strong attention to detail - Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds

Quantitative Developer - C++ 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. A trading desk is successful thanks to the mix of the following three internal teams: - Quant Traders: who are having strong knowledge about finance and trading - Quant Researchers: who are mathematicians - Quant Devs: who are strong in tech and computer science Your future role within QRT: - You will be working within a trading desk which means that your contribution will have a direct and immediate impact on the desk's success - Placing you as a key member of a Quant Dev team working closely with Quant Researchers and Quant Traders. - A role with the potential to touch many aspects of algorithmic trading, including ultra-low-latency trading engine (tracking nanoseconds), research platform (Terabytes of data per day), and analytics infrastructure (Massive cloud computing) - Opportunities to solve hard technical challenges critical to the desk's success Your present skill set: - Expertise in modern C++, with strong hands-on development experience - Deep understanding of system-level fundamentals, including CPU, memory, operating systems, and networking - Strong analytical mindset and genuine motivation

AI Platform Engineer Wrocław 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 build and operate QRT's internal AI application platform, enabling researchers, developers, and data scientists to leverage LLM-powered tools effectively and reliably. Your focus will be on production AI services, including RAG systems, agentic workflows, retrieval infrastructure, and the APIs that make these capabilities available across the firm. You will work closely with Platform Engineering and AI users to deliver scalable, high-quality solutions. You will own AI services used across the firm and help shape how AI capabilities are delivered to researchers and engineers. Your future role within QRT: AI Platform Development - Develop and maintain internal AI services and APIs - Build and improve RAG pipelines, including document ingestion, embeddings, retrieval, and relevance optimisation - Manage vector database performance, scalability, and data freshness - Design clear, well-documented APIs for internal users - Support agentic workflows and the services they depend on Platform Reliability & Quality - Integrate model serving endpoints into application-layer services - Define and monitor service objectives around latency, reliability, and retrieval quality - Implement prompt management, versioning, evaluation, and testing

Market Microstructure Researcher New York 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: We are seeking a Market Microstructure Researcher to help optimize exchange connectivity and interaction for our high-frequency trading strategies. You will analyse network and exchange protocols, automate performance metrics, and lead experiments to improve our trading operations, with a focus on latency-sensitive exchanges. - Network & Protocol Analysis: Analyse network and exchange protocol captures to identify inefficiencies and improve communication performance - Exchange Research & Liaison: Research exchange features, attend presentations, and communicate with exchange counterparts to gather insights - Execution Optimization: Reverse-engineer trading systems and design and conduct experiments to improve fill rates - Cross-team Communication: Collaborate directly with trading and research teams to ensure best application of findings and direct PnL impact - Data Analysis: Effectively work with large and robust datasets to identify and resolve inefficiencies in internal execution systems and exchange communication Your present skillset: - Degree in Computer Science, Engineering, or a related field - 5+ years of experience in data analysis and/or low-level systems and network engineering - Strong skills in

Software Engineer - Python/ Rust 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 This team works on the end to end solution for signal based extra-day and intra-day strategies at QRT. - The python library/framework with which researchers can perform their research and develop their strategies. - The on-ramp pipelines and process for submitting, backtesting and validating those strategies to trading - The platform which run all those strategies in production, including the scaling and monitoring of that platform Your present skillset - Strong python development skills, both exercised for the Python Integrator library itself, and for the tooling around the platform - Excellent written and verbal communication skills, as we have a strong focus on user facing documentation and support - Advanced financial functional knowledge, to be able to design the feature the researchers and traders need in the library - Architectural skills to help design an ever evolving platform always on step ahead of the needs in terms of scaling - Great CI/devops mindset to help the team achieve maximal efficiency and the product to reach an

Cloud Engineer - AWS Specialist 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: You will be part of a global team comprising Quantitative Traders, Researchers and Developers. Our AWS specialists are essential in building the next generation of research platforms, leveraging technologies like EKS, Lambda, SSM, IAM, Secrets Manager, RDS, DynamoDB, Redis, and CloudWatch. • Design and implement custom AWS architectures to enhance the quantitative research and modelling processes of the desk. • Collaborate with quantitative researchers, developers, and data scientists to understand their needs and translate them into scalable, flexible, and secure cloud solutions. • Ensure the optimal performance, availability, and reliability of cloud infrastructure to support high-performance quantitative research and large-scale data analysis. • Automate infrastructure deployment, management, and monitoring to streamline research operations and enable rapid prototyping. • Continuously review and optimize cloud systems to ensure scalability, cost efficiency, and alignment with research and trading objectives. • Stay up to date on AWS services, tools, and drive best practices within the AWS Specialists team. Your present skillset: • 4+ years experience as a Cloud Architect or

ETF Trader - Asian Markets Sydney Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across asset classes and geographies. We combine data, research, technology, and trading expertise to deliver scalable, research-driven investment strategies. We are building a n ew ETF trading desk in Sydney and are looking for an early hire to help shape its direction. This role sits at the intersection of trading, research, and technology - you will be actively involved in all three, rather than specialising in a single function. On any given day, you may be operating live trading systems and managing risk, developing new pricing models, or improving the infrastructure the desk runs on. As the platform grows, you will play a key role in expanding into new markets and products across Asia-Pacific. Responsibilities - Trade ETFs across Asian exchanges, delivering efficient execution and competitive pricing - Operate and monitor systematic trading strategies across a range of horizons, from HFT to longer-term positioning - Manage FX exposure and correlated risks across ETF and underlying portfolios - Improve and refine existing trading and execution strategies - Research and develop alpha signals using market microstructure, flows, and cross-asset data - Contribute to the design and enhancement of ETF pricing models across asset classes - Build and improve trading infrastructure in collaboration with quantitative researchers and engineers - Identify and capitalise on relative value and arbitrage opportunities - Monitor ETF market structure, listings, and regulatory developments across the region Your Profile -

Quantitative Developer - Production Hong Kong, Singapore 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. QRT is seeking a Quantitative Developer with strong Python skills and a deep understanding of systems design and reliability principles to help evolve and scale our high-performance trading platform. You'll build tools, automation, and design systems that support the speed and reliability our business depends on. Your future role within QRT - Collaborate with developers, researchers, traders, and platform teams to build and improve business-critical systems - Build automation for operations, deployment, monitoring, and incident response - Evaluate and implement tools that balance performance, complexity, and maintainability - Own and evolve our observability stack: metrics, logs, tracing, and alerts Your Present Skill Set - Bachelor's degree in Computer Science or a strongly related field - Strong Python programming skills - Strong problem-solving skills and deep understanding of computer science fundamentals - Commitment to code clarity, documentation, and reducing technical debt - Hands-on experience with Linux/Unix systems in production environments - Proven track record designing and delivering scalable systems in production environments - Knowledge of low-latency systems, trading environments, market data,

Academic Partnerships & Research Lead London, Paris, 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 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. Join QRT Academy as an Academic Partnerships & Research Lead in London, Paris or Hong Kong, working at the interface between academia and industry. QRT Academy connects leading research communities and talent with QRT through academic collaborations and research engagement initiatives. In this role, you will lead the development of QRT's academic collaborations, working directly with leading institutions and research groups globally to shape and contribute to research projects and collaboration opportunities. Your future role at QRT: - Lead the design and delivery of engagement programmes with academic partner institutions, including research collaborations, visiting practitioner initiatives, and student programmes - Collaborate directly with academic partners on research projects, including contributing to research direction, publications, and conference engagement - Build and develop long-term partnerships with leading academics, departments, and research groups across priority institutions - Act as a primary point of contact for partner institutions, collaborating closely with academics and researchers to shape collaboration opportunities - Identify and engage high-potential students and early-career researchers through academic programmes and networks

Quantitative Researcher, Challenge Design Specialist – QRT Academy 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. QRT Academy advances research and research projects within QRT and with academic institutions, delivers technical training across research, technology, and trading, and, in collaboration with other functions, leads QRT's engagement with the academic community. Your future role within QRT - Design, run, and scale mathematical problem-solving challenges, competitions, and interactive academic events across leading universities. - Work closely with researchers, traders, and the talent team to design original mathematical problems, logic puzzles, and quantitative challenges that reveal how candidates think and reason under uncertainty, as well as trading games and hackathons. - Experiment with and deliver new formats for academic engagement, including online, hybrid, and in-person initiatives, with a focus on creative and diagnostic challenge design. - Build and maintain relationships with students, societies, and academic departments. - Act as an ambassador to the academic community, contributing to and shaping the firm's long-term outreach and challenge-design strategy. Your present skillset - Strong education in mathematics or a closely related quantitative field (e.g. statistics, machine learning, finance, computational finance).

Senior Cloud Engineer – AWS Specialist 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: You will be part of a global team comprising Quantitative Traders, Researchers and Developers. Our AWS specialists are essential in building the next generation of research platforms, leveraging technologies like EKS, Lambda, SSM, IAM, Secrets Manager, RDS, DynamoDB, Redis, and CloudWatch. - Design and implement custom AWS architectures to enhance the quantitative research and modelling processes of the desk. - Collaborate with quantitative researchers, developers, and data scientists to understand their needs and translate them into scalable, flexible, and secure cloud solutions. - Ensure the optimal performance, availability, and reliability of cloud infrastructure to support high-performance quantitative research and large-scale data analysis. - Automate infrastructure deployment, management, and monitoring to streamline research operations and enable rapid prototyping. - Continuously review and optimize cloud systems to ensure scalability, cost efficiency, and alignment with research and trading objectives. - Stay up to date on AWS services, tools, and drive best practices within the AWS Specialists team. Your present skillset: - 5+ years experience as a Cloud Architect

Data Platform Engineer - Database & Infrastructure 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. We operate one of the most demanding data infrastructures in finance, supporting mission-critical distributed systems across multiple database and streaming platforms, with strict requirements around availability and performance. Our environment spans both on-prem infrastructure and AWS, with a strong focus on standardization, automation, and Kubernetes-based orchestration. We are looking for an experienced Data Platform Engineer to join our DevOps team in Paris. This role is fully on-site , with a strong focus on ensuring the reliability and scalability of our production data infrastructure. Your future role within QRT: This role sits at the intersection of data engineering and infrastructure engineering, focused on building reliable, scalable, and high-performance data platforms. Your responsibilities will include: - Ensuring reliability and performance of production data systems (ClickHouse, CockroachDB, Trino, etc.) - Designing and operating database clusters on Kubernetes (via operators) - Building and maintaining data pipelines (ingestion, transformation, replication) - Driving Infrastructure-as-Code practices (Terraform, Helm) - Operating storage and data platforms across on-prem (VAST) and AWS (S3, EMR, MSK, RDS, EKS) - Managing

Software Engineer – Distributed Market Data Systems 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 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. Tick Data Platform is a new team building a globally distributed market data architecture. The systems are being developed from the ground up and we're looking for exceptional software engineers to join us in creating scalable and performant data platforms to support quantitative research and trading. Your future role within QRT - Greenfield development in a small and highly collaborative team - Building cloud-native platforms for the distribution and processing of realtime tick data - Architecting high throughput distributed systems with significant horizontal scalability - Working with researchers and data scientists across QRT Your present skillset: - 4 years of software engineering experience - Experience with distributed realtime systems - Systems design and architecture - Ability to write optimised and high throughput code - Communication and teamwork, with an interest in building a strong engineering culture Experience in these is advantageous but not required: - Cloud-native platforms including Kubernetes - Realtime platforms including Kafka - High performance python tooling (numpy, numba, c++ and rust interoperability) - Modern data tooling