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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 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 are looking for an experienced AI Engineer to help drive the adoption of AI across our High Frequency Trading (HFT) business. You will build AI-powered tools, agents, and platforms that improve productivity across research, development, and trading operations. You will evaluate emerging AI technologies, integrate them into our internal ecosystem, and develop solutions that deliver measurable business value. Your future role within QRT Build and maintain AI-powered applications, assistants, and agentic workflows Develop integrations between AI systems and internal tools, repositories, databases, and knowledge sources Design and implement AI agents capable of interacting with enterprise systems and APIs Evaluate new models, frameworks, and AI tooling Partner with researchers, engineers, and business teams to identify high-value use cases Contribute to standards and best practices for AI development across the HFT business Your present skillset Strong software engineering experience in Python Experience building and operating production systems Excellent design, debugging, and problem-solving skills Experience with modern AI platforms, LLMs, and AI tooling. Strong understanding of APIs, distributed systems, and software architecture Ability to independently drive projects from conception to production Experience building AI agents or agentic workflows Experience evaluating AI systems and coding assistants Familiarity with MCPs, tool-use frameworks, or related technologies Experience with quantitative research, trading technology, or financial markets (good-to-have) 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 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 contribute to the efficiency of the technical environment of research. You will build and operate internal tools and services used by researchers across the firm. You will work directly with researchers to understand their workflows, identify recurring pain points, and turn them into better tooling, automation, documentation, or platform improvements. Build backend services, APIs, automation scripts, dashboards, and lightweight web applications Deploy and operate internal applications using cloud, containers, and CI/CD Improve onboarding, documentation, self-service workflows, and internal knowledge sharing Troubleshoot issues across applications, infrastructure, user environments, and integrations Work with engineering teams to improve adoption, usability, ownership, and supportability of internal platforms Contribute to secure, maintainable, observable, and scalable internal systems Your current skillset : Strong software engineering skills, preferably in Python Experience building internal tools, APIs, automation, or web applications Experience with AI-assisted and agentic software development tools Familiarity with cloud environments, containers, deployment workflows, and CI/CD Ability to debug technical issues across several layers of a system Clear written and verbal communication skills Ability to work with technical and non-technical stakeholders Pragmatic approach to problem solving, with a focus on useful outcomes Strong user-centric mindset, with the ability to understand user workflows, constraints, and pain points in depth Curiosity and willingness to learn unfamiliar tools, systems, and domains Strong interpersonal skills, with the ability to build trust, credibility, and strong working relationships with researchers 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 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: You will contribute to the engineering platform that supports quantitative research across the firm. Working closely with researchers and software engineers, you will build and improve internal tools and services that simplify workflows, automate repetitive tasks, and enhance the overall research experience. Build and maintain backend services, APIs, automation tools, dashboards, and lightweight web applications Develop internal tooling and self-service solutions that improve researcher productivity Deploy and operate internal applications using cloud technologies, containers, and CI/CD Work directly with researchers to understand their workflows and turn recurring pain points into practical engineering solutions Troubleshoot issues across applications, infrastructure, development environments, and integrations Improve documentation, onboarding, and internal knowledge sharing Collaborate with engineering teams to improve the usability, reliability, and adoption of internal platforms Your present skillset: Strong software engineering skills, preferably in Python Experience building internal tools, APIs, automation, or web applications Experience using AI-assisted and agentic software development tools Familiarity with cloud environments, containers, deployment workflows, and CI/CD Ability to troubleshoot technical issues across applications and infrastructure Clear written and verbal communication skills Ability to collaborate effectively with technical and non-technical stakeholders Pragmatic problem-solving skills with a strong user-focused mindset Curiosity and willingness to learn new tools, technologies, and domains Strong interpersonal skills and the ability to build trusted relationships with researchers 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 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. You will work alongside quantitative researchers and portfolio managers to develop the technology that underpins systematic trading strategies. This role is embedded within the research environment, where engineering and quantitative research are closely integrated. You will help develop research frameworks, productionise trading strategies, and improve the engineering standards that support systematic investment research. Your future role within QRT Build, maintain and enhance the quantitative trading framework used for research and production Productionise quantitative trading strategies developed by researchers Collaborate with quantitative researchers and portfolio managers to improve research workflows, development practices and engineering standards Develop tooling and infrastructure that supports the full lifecycle of systematic trading strategies Contribute to machine learning and data driven research initiatives through software engineering and platform development Evolve the software platform to meet changing research and business requirements Support technically complex research projects and deliver robust production solutions Your present skillset 5 or more years of professional experience as a Quantitative Developer or Quantitative Technologist working directly with quantitative research teams within a systematic investment environment Strong Python development skills Experience building software for quantitative research and systematic trading workflows Strong understanding of quantitative trading strategies, with the ability to review and improve research code while understanding the underlying investment logic Experience developing machine learning pipelines and supporting production deployment Experience applying AI tools or developing AI enabled solutions High standards for code quality, testing and software engineering best practices Ability to manage multiple priorities and work effectively in a collaborative environment Strong communication skills and the ability to work closely with quantitative researchers, portfolio managers and engineering teams 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: Aarhus 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. You will join a quantitative development function that works closely with Researchers, Traders and Cloud Engineering teams to build applications, data pipelines and analytics that support research and trading workflows. The role combines software engineering, quantitative development and data engineering, with responsibility for developing production applications, supporting research infrastructure and integrating large scale datasets. Your future role within QRT Design, develop, deploy and maintain cloud native Python applications supporting research and trading workflows, including market data dashboards, risk analytics, profit and loss reporting, weather analytics and performance analysis Develop quantitative tools including backtesting frameworks, optimisation tools, pricing libraries and ETL pipelines for integrating and validating alternative datasets Build and maintain scalable data pipelines that support model development and production workflows Monitor, support, debug and enhance existing research and trading infrastructure Work closely with Researchers, Traders and Engineering teams to deliver production quality solutions that meet evolving business requirements Provide support for traders and production trading systems as part of a support model that provides continuous coverage across global markets. Your present skillset At least three years of professional Python development experience Strong knowledge of Python, including numerical libraries such as NumPy, Pandas, Polars and Xarray Strong quantitative mindset with an interest in working closely with trading and research functions Experience developing user interfaces or an interest in building data visualisation applications such as Plotly, Dash or Streamlit is beneficial Experience with AWS or another cloud platform together with infrastructure as code technologies (e.g. Lambda, S3, DynamoDB, RDS or AWS CDK is advantageous) Good knowledge of relational databases such as PostgreSQL together with object storage technologies Experience developing ETL pipelines and working with large scale datasets Strong understanding of software engineering practices including version control, automated testing, packaging and deployment Ability to work independently while collaborating closely with business and technology stakeholders to deliver production solutions Experience with parallel or distributed computing is 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: Amsterdam 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: Design, build, and operate high-throughput distributed data systems that power quantitative research and production trading workflows. Develop production-grade Python services and pipelines to acquire, process, validate, and distribute large volumes of market and reference data. Build systems supporting both large-scale historical data processing and time-critical overnight pipelines on the path to trading. Design scalable processing architectures that partition work across QRT’s on-premises compute infrastructure and AWS. Build comprehensive observability and operational tooling to monitor data freshness, completeness, quality, and pipeline health. Collaborate closely with quantitative researchers, trading teams, software engineers, and infrastructure teams to onboard new datasets and improve research productivity. Take ownership of systems end-to-end, from architecture and implementation through deployment, production operation, and incident resolution. Your present skillset: 5+ years of experience building and operating production-grade data platforms, distributed systems, or large-scale data-processing applications. Strong Python software engineering experience, including the design of maintainable, tested, and performance-conscious production applications. Strong understanding of distributed processing concepts such as partitioning, parallelism, concurrency, fault tolerance, idempotency, and failure recovery. Experience designing systems that process large data volumes with demanding throughput or completion-time requirements. Hands-on experience with workflow orchestration technologies such as Apache Airflow. Experience with AWS services including S3, EC2, AWS Batch, IAM, CloudWatch, and cloud SDKs. Experience operating business-critical pipelines and diagnosing data, performance, and reliability issues in production. Excellent problem-solving skills and the ability to collaborate effectively across research, trading, engineering, and infrastructure teams. Nice to have: Experience building market-data platforms or other high-throughput financial data systems. Knowledge of non-equity asset classes such as futures, fixed income, commodities, or FX. Experience with time-sensitive overnight processing or systems operating on the path to production trading. Familiarity with Apache Parquet, Apache Arrow, or distributed processing frameworks such as Spark, Ray, or Dask. Experience with Docker, Kubernetes, and Infrastructure-as-Code tools such as Terraform or CloudFormation. C++ development experience. Experience working in high-performance computing or hybrid cloud environments. 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 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. You will join the Core Trading Platform team, which is responsible for the design and operation of QRT’s global electronic trading infrastructure. This team builds and maintains the ultra-low latency systems that underpin real-time trading, managing performance-critical workflows across global markets. You will work closely with developers, traders, and operations to optimise system behaviour, reduce latency, and ensure platform reliability at scale. Build. Break. Investigate. Optimize. Repeat. We're looking for engineers who love understanding how systems really work. Tinkerers. Optimizers. Troubleshooters. Performance sleuths. People who are just as comfortable diving into Linux internals and packet captures as they are writing software to eliminate operational toil. This isn't a traditional support role. You'll operate at the intersection of software engineering, production operations and business workflows, helping keep a fast-moving trading platform running reliably while continuously making it better. What you'll do: Own production Take responsibility for the health, stability and performance of critical trading systems. When things break, you're one of the people everyone wants in the room. When things don't break, it's often because of something you built. Investigate the unexplained Chase down complex incidents that span applications, infrastructure, networks and market connectivity. Become a technical forensic investigator, uncovering root causes that aren't immediately obvious and turning every incident into a learning opportunity. Eliminate toil If you have to do something twice, you'll probably automate it. Build tools, workflows and self-service capabilities that make systems easier to operate and engineers more productive. Obsess over reliability Design better monitoring, observability and alerting. Measure what matters. Reduce noise. Increase signal. Help us understand our systems before they fail rather than after they fail Understand the business Our systems exist to support trading. You'll learn how orders move through the platform, how market data flows, how trading desks operate and why reliability matters to investment performance. Optimize everything Latency. Efficiency. Deployments. Troubleshooting workflows. Feedback loops. Engineering productivity. Nothing is ever "good enough." What we're looking for You might be a good fit if you: Enjoy taking things apart to understand how they work Automatically start troubleshooting when something looks wrong Find repetitive work deeply irritating and automate it away Get satisfaction from building reliable systems Prefer solving root causes instead of treating symptoms Love learning new technologies and diving into unfamiliar systems Can communicate clearly during high-pressure production events We're more interested in how you think than the exact technologies you've used, but you'll likely have: Strong software engineering skills in Python, C++, or another modern programming language Solid Linux systems knowledge Understanding of networking fundamentals including TCP/IP and multicast Experience troubleshooting distributed systems Familiarity with observability, monitoring and automation tooling A passion for engineering robust, scalable and operable systems Previous experience in finance or trading is helpful but not required. Why this role is different Most companies separate developers, operations engineers and production support teams. We don't. You'll join a multi-skilled engineering group that combines software development, production engineering, operational ownership and business understanding. The result is a role with a broad scope, a steep learning curve and the opportunity to have a direct impact on the reliability and performance of a global trading platform. 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. As a Campus Recruiter, you will play a key role in attracting and hiring exceptional early-career talent across our Research and Trading teams. Partnering closely with hiring managers and the global Campus team, you will help shape and deliver a best-in-class recruitment experience while strengthening QRT's presence across top universities. Your Future Role at QRT Manage the full recruitment lifecycle for internship and graduate hiring across our Research and Trading functions, from attraction through to offer. Develop and execute campus engagement strategies across France, building strong relationships with key universities, Grandes Écoles , student societies and career services to establish QRT as an employer of choice. Leverage your understanding of the French higher education landscape - including Grandes Écoles , engineering schools, master's programmes, internships ( stages ) and apprenticeships ( alternance ) - to identify and engage top talent. Build trusted partnerships with hiring managers, providing market insights and guidance to support effective hiring decisions. Plan, coordinate and deliver campus recruitment initiatives. Identify opportunities to improve recruitment processes, enhance operational efficiency and leverage data to drive informed hiring decisions. Your Present Skillset 3+ years' recruitment experience within technology, quantitative finance, investment management, fintech or another highly competitive talent market, with significant in-house campus recruitment experience. Strong knowledge of the French university ecosystem, including Grandes Écoles , engineering schools and postgraduate programmes, an established network across career services and student organisations would be an advantage. Experience designing and executing campus recruitment strategies across France, with an understanding of local hiring practices and early careers recruitment cycles. A proven track record of managing end-to-end internship and graduate recruitment programmes in a fast-paced environment. Strong stakeholder management skills with the ability to influence and build credibility with hiring managers and senior business leaders. Excellent written and verbal communication skills in both French and English. Highly organised, detail-oriented and able to manage multiple priorities while maintaining exceptional quality and candidate experience. A proactive, collaborative mindset with strong analytical thinking and a continuous improvement approach. Comfortable working in a high-performance, dynamic environment where adaptability, ownership and execution are highly valued. 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. QRT's High-Frequency Trading team designs and operates ultra-low-latency systems at global scale. We’re hiring experienced C++ engineers who are passionate about performance, efficiency, and building highly optimized systems. You’ll work on performance-critical systems with direct impact on live trading outcomes. Your future role at QRT: You’ll work across our latency-critical stack - from kernel-level tuning and network optimization to highly efficient C++ components. This role involves close collaboration with our FPGA engineering team as well as our hardware and infrastructure engineers to design end-to-end architectures where every single nanosecond counts. Design and optimize C++ systems for trading, market data, and infrastructure Profile and fine-tune performance across CPU, cache, and memory layers Collaborate with FPGA engineers to integrate hardware and software pathways Your present skillset: 5+ years of experience in performance-critical C++ (C++20 or newer) Strong grasp of systems programming, low-level understanding including memory management and CPU's architectures Deep familiarity with Linux internals, kernel parameters, and low-level profiling Curiosity about hardware, networking, and how systems behave under real load Exposure to FPGA integration, hardware/software co-design, or low-latency hardware acceleration 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 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: As part of the Data Search & Analytics team, you will support one of QRT's Options trading streams, working closely with quantitative researchers and traders to source, curate and deliver high-quality data that powers systematic options research and trading. In addition to the core responsibilities outlined above, you will: Source, evaluate and onboard datasets relevant to options and derivatives research. Partner closely with researchers and traders to understand data requirements and translate them into scalable data solutions. Build and maintain robust data pipelines, ensuring the quality, consistency and timeliness of options-related datasets. Develop a strong understanding of options market data and contribute to improving QRT's internal data platform and tooling. Proactively identify opportunities to enhance data coverage, quality and operational efficiency for the Options business. Your present skillset: 3+ years of experience as a Data Scientist, Data Engineer or in a similar data-focused role; experience supporting quantitative research or trading teams is advantageous. Experience working with financial market data; exposure to options, derivatives or volatility data is a strong advantage. Strong Python programming skills, with experience using data processing libraries such as Pandas and NumPy. Experience building data pipelines and working with large-scale structured and time-series datasets. Demonstrated interest in financial markets and the application of data to quantitative research and trading. Excellent communication and stakeholder management skills, with the ability to collaborate effectively with researchers, traders, engineers and external data vendors. Ability to thrive in a fast-paced, high-performance environment while managing multiple data initiatives simultaneously. 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, 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. Your future role within QRT: Own the architecture, maintenance, and evolution of the software platforms used by the Volatility Risk Management team. Review, refactor, and enhance Python codebases to improve robustness, scalability, and maintainability. Develop and maintain backend systems, including pricing engines, market data frameworks, and risk analytics tools. Build dashboards, user interfaces, and workflow automation tools, including greenfield applications. Leverage AI agents and automation to improve operational efficiency and risk management workflows. Partner closely with Risk Managers to industrialise processes and deliver scalable solutions. Your present skillset: 3+ years of professional software development experience with strong Python expertise. Experience designing and maintaining production-grade software. Experience with market data and data-intensive applications. Experience building APIs and backend services (FastAPI, Flask, or similar). Knowledge of derivatives, options, risk management, or quantitative systems is a plus. Experience with frontend frameworks (React, Dash, AG Grid, or similar) is a plus. Familiarity with modern software architecture, cloud technologies, and AI-assisted development tools. Strong ownership, attention to detail, and excellent communication skills. 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 : Partner closely with quantitative traders and researchers to design and build robust reporting and analytical tools that directly support trading strategies and performance monitoring. Explore, evaluate, and integrate alternative datasets to generate actionable insights and contribute to the development of innovative trading opportunities. Your current skillset : Strong proficiency in Python, with solid software engineering fundamentals Experience building, deploying, and supporting production-grade Python applications Ability to prioritize effectively and operate autonomously in a dynamic environment Strong collaboration skills and the ability to communicate clearly with both technical and non-technical stakeholders 3+ years of professional experience in software engineering or a related field Nice to have Previous experience in finance, ideally within a hedge fund or trading environment Familiarity with AWS or similar cloud platforms Experience building dashboards or working with data visualization tools 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 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 are looking for a developer with 1+ years of experience in a quant trading environment to work directly with traders and quant researchers. Your future role within QRT Key member to the success of high-frequency and low latency algo trading on APAC markets Enrich and implement alpha and trading algorithms Implement specific market rules for the main Asian markets Collaborate with the traders and quant researchers on providing efficient research platform and tools Your present skillset Computer Science degree or equivalent Strong C++ 20/23 development experience on a Linux environment Interest in solving technical problems, along with ability to implement robust resilient and flexible solutions Familiar with HPC in Cloud environment, good level of Python Good communication skills in a dynamic and international 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: Sydney Junior Quantitative Trader – Delta One (Asia-Pacific) Location: Sydney, Australia 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 growing our Delta One trading desk in Sydney and are looking for a new member of the team to help shape its direction. This is an opportunity to join a fast-growing, ambitious team with meaningful scope for ownership and impact from day one. The 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, researching and developing new signals, or improving the infrastructure the desk runs on. As the platform grows, you will play a key role in expanding the desk across Asia-Pacific, with a long-term ambition to build capabilities in markets globally. Responsibilities Trade Delta One products, including ETFs, futures, and equities, across Asian exchanges, delivering efficient execution and competitive pricing Operate and monitor systematic trading strategies across a range of horizons, from high-frequency trading to longer-term positioning Research and develop alpha signals using market microstructure, flows, and cross-asset data, in collaboration with quantitative researchers Build and improve trading infrastructure in collaboration with engineers and developers Identify and capitalise on relative-value and arbitrage opportunities Monitor market structure, liquidity, product developments, listings, and regulatory changes across Asia-Pacific markets Contribute to the ongoing development of the desk’s trading capabilities, systems, and processes as it scales Your Profile Experience in trading, quantitative research, or a related quantitative role Strong quantitative and probabilistic thinking, with an intuitive understanding of expected value and risk/reward trade-offs Experience in systematic trading, market making, proprietary trading, or quantitative research; direct Delta One experience is advantageous but not essential Comfortable working with electronic trading systems and making data-driven decisions Curious about markets and motivated by both research and implementation — from identifying an opportunity through to production A builder mindset: you enjoy improving strategies, tools, and processes rather than simply operating within established frameworks High attention to detail, ownership, and accountability Clear and effective communicator who collaborates well across trading, quantitative research, and engineering Comfortable in a fast-growing environment where not everything is defined and priorities will evolve as the desk scales Programming experience with the ability to work with data and translate ideas into practical trading solutions Strong quantitative foundations, typically demonstrated through a degree in Mathematics, Physics, Engineering, Computer Science, Economics, Finance, or a related discipline Why Join QRT Join an ambitious, fast-growing Delta One trading desk Take on meaningful responsibility and have direct impact on strategy, trading, and desk performance Work at the intersection of quantitative trading, research, and technology Collaborate in a flat, high-performance environment with experienced global teams Access cutting-edge data, tools, and global trading infrastructure Help build and scale trading capabilities across Asia-Pacific and, over time, global markets 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 offer initiatives and programs designed to support employees in achieving 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: 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: 2+ years experience as a Cloud Architect or Engineer with a strong focus on AWS technologies. In-depth knowledge of AWS services, including EKS, EC2, S3, Lambda, RDS, VPC, IAM, CloudWatch and others. Experience in designing highly available, resilient, and secure cloud solutions for research or finance environments. Strong understanding of cloud security practices, encryption, and governance. Familiarity with DevOps principles and automation tools (e.g.: Terraform). Experience with containerization (Docker, Kubernetes, etc.) and serverless architecture. Ability to troubleshoot complex cloud infrastructures. Excellent communication and collaboration skills, with the ability to work effectively across diverse technical and research teams. AWS certifications (Solutions Architect, DevOps Engineer, etc.) are 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.

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. In this role, you will be involved managing data operations activities to onboard, maintain, and support new datasets within QRT. You will also be responsible for production monitoring and ensuring the smooth functioning of data pipelines and infrastructure systems. Your future role within QRT Own and automate data operations processes, including coordination with external vendors and internal data teams Enhance observability of data pipelines by creating and maintaining dashboards and implementing automated checks Monitor data pipelines and provide Level 1 production support Monitor framework and infrastructure systems to ensure operational stability Maintain and update operational runbooks and process documentation Your present skillset Bachelor’s or master's degree in engineering or a related field. 3+ years of Experience in data operations and production support Strong Python scripting skills Collaborative mindset with a positive and proactive attitude 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: 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. You will work within a data focused function supporting Quantitative Researchers, Traders and other stakeholders across the firm. The role focuses on designing and developing financial datasets that support systematic strategies and trading decisions, with particular emphasis on market data, pricing datasets and reference data. You will combine financial market knowledge with Python and data engineering skills to build and own the automated production pipelines that create and maintain these datasets. Your future role within QRT Collaborate with Quantitative Researchers and Traders to design financial datasets that support systematic strategies and trading decisions Develop Python code to extract, clean, normalise and aggregate data from a range of financial market data sources Design, build and maintain automated data pipelines covering sourcing, extraction, transformation, validation and delivery Develop and maintain pricing and reference datasets across financial instruments and markets Investigate and resolve data quality and production issues to improve the reliability and availability of datasets Evaluate and implement new approaches to data extraction, processing and onboarding Take ownership of production data workflows and evolve them as data requirements, systems and business priorities change Your present skillset 2 to 5 years of experience in a data focused role working with financial or market data Strong understanding of financial markets and instruments, including the behaviour and characteristics of pricing and reference datasets Advanced Python programming skills, including experience with data processing libraries such as Pandas or Polars Experience designing, building and maintaining automated production data pipelines Strong data analysis and problem solving skills, with the ability to investigate data quality issues and understand their underlying causes Experience working with market data platforms and APIs from providers such as Bloomberg or LSEG is beneficial, including products such as Datastream, DataScope Select, Real Time, BPIPE or Data License Postgraduate degree in Mathematics, Physics, Engineering, Computer Science or another quantitative discipline Strong communication skills with the ability to collaborate effectively with Quantitative Researchers, Traders and other stakeholders Ability to operate effectively as priorities, systems, projects and business requirements evolve 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 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 Compute Operations team support the day-to-day operation of on-prem compute infrastructure, covering HPC server hardware, Linux-based platforms, and user-facing support. You will work closely with the Compute Ops Team Lead, Linux engineers, and other platform groups to maintain reliable, performant compute services across Slurm, Kubernetes, and control-plane environments. Your Future Role within QRT You will: Provide hands-on support for HPC server hardware, including diagnostics, issue investigation, and coordination with vendors for repairs Monitor system health and respond to alerts using infrastructure monitoring tools Support hardware lifecycle activities, including provisioning, maintenance, and decommissioning Troubleshoot Linux-based systems across OS, networking, and storage layers Triage and resolve user-facing issues across compute platforms such as Slurm and Kubernetes Coordinate with internal teams and vendors on maintenance and incident resolution Execute scheduled maintenance and change activities Maintain accurate infrastructure records and documentation Contribute to runbooks and continuous improvement of operational processes Participate in on-call rotations and incident response Your Present Skillset 2–5 years of experience in compute infrastructure, systems engineering, or a related role Strong Linux systems administration experience (i.e. RHEL, Rocky Linux, or similar) Strong understanding of server hardware (i.e. compute, storage, networking components) Familiarity with infrastructure monitoring tools (e.g. OneView, Dell OME, or similar) Exposure to HPC or platform environments such as Slurm or Kubernetes Experience or familiarity with operational tooling (i.e. NetBox, DNS, HashiCorp Vault, Ansible, scripting languages or similar) Knowledge of automation or scripting (e.g. Bash, Python, Ansible) Strong troubleshooting and problem-solving skills Ability to communicate effectively and work in a collaborative environment Understanding of datacentre operations and safety practices is beneficial 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.