Вакансии

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. As Network Architecture Lead you will have ultimate architectural oversight and long-term design direction for QRTs trading and enterprise networks. Working closely with the global network team, you will help define and document the long-term design direction for QRTs trading and enterprise network globally. Key to the role will be collaborating with the team to defining practical standards and ensuring designs are scalable, supportable, instrumented and aligned with business requirements. Success in this role means establishing a clear, network-wide architectural direction, with teams consistently applying agreed and documented standards rather than developing isolated or site-specific solutions. Your Future Role within QRT Design and maintain documentation for the current-state, target-state and transition plans for QRT’s global trading and enterprise networks. Define architecture standards and reference designs in cooperation with the network teams. Review significant designs for scalability, resilience, latency, simplicity and operational support. Document design decisions, dependencies, monitoring requirements and expected operating models. Define instrumentation standards covering telemetry, monitoring, logging, alerting and dashboards. Identify and track architectural risks, technical debt and gaps between current and target states. Apply lessons from project delivery, operational experience and incidents to strengthen future designs. Build alignment across engineering and business stakeholders, ensuring teams adopt consistent and documented design patterns. Your Present Skillset Deep experience designing complex, multi-site network environments. Strong knowledge of WAN, data-centre networking, BGP, multicast, VXLAN/EVPN and low-latency design. Experience producing architecture plans, standards, reference designs and decision records. Strong understanding of instrumentation and operational visibility. Knowledge of network equipment supporting business systems and FPGA-connected network paths. Strong communication and influencing skills, with the ability to build agreement across teams without direct authority. 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 Infrastructure team designs, delivers and operates the technology foundations supporting QRT’s trading and enterprise environments. You will lead the trading and enterprise network function through a team of Network Team Leads. The role is accountable for strategy, people, priorities, delivery, operations and continuous improvement within the network function. This role ensures the network supports business requirements and that teams work in a consistent, scalable and supportable way. Your Future Role within QRT Lead and develop Network Team Leads, setting clear strategy and priorities, ownership and escalation paths. Establish consistent ways of working across the network function, supporting clear leadership and predictable delivery. Balance project delivery, operational work, technical debt and improvement initiatives, ensuring work remains aligned with business priorities. Act as the senior escalation point for people, delivery and operational issues. Ensure agreed architecture, standards, documentation and handover practices are followed across teams. Provide senior Infrastructure and Project Management stakeholders with clear feedback on risks, dependencies, capacity, delivery confidence and technical debt. Ensure risks are identified and raised early, with clear ownership and appropriate mitigation plans. Represent Networks in business, infrastructure and project planning. Your Present Skillset Experience leading a network function through team leads or managers. Strong knowledge of complex, low-latency network environments. Strong delivery, resource, risk and stakeholder-management skills. Experience building consistent operating practices across multiple teams and sites. Ability to develop technical leaders and reduce reliance on individual knowledge. 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. Your future role within QRT Provide first- and second-line support for LLM gateway platform, investigating and resolving issues raised by engineering and business users across the firm Monitor and maintain the platform's underlying infrastructure to ensure availability, stability and predictable performance under rapidly growing load Support and troubleshoot model-serving backends and provider integrations, model providers, covering latency, throughput, error-rate and capacity issues Triage incidents affecting model availability — provider instability, connection resets, timeouts, regional slowness — determine whether the cause is platform-side or upstream, and drive to resolution with vendors where required Support the tooling layer built on top of LLM gateway: integrations, developer workspaces (e.g. Coder), coding assistants and API clients, including diagnosing issues introduced by upstream vendor releases running against a gateway-fronted API Coordinate with platform engineering, cloud infrastructure and end-user teams to resolve incidents and minimise disruption Support release management and change processes to keep production stable, including staged rollouts, non-prod validation and rollback Build tooling and automation to improve monitoring, diagnostics and operational visibility, and to reduce repetitive manual work Contribute to the design and implementation of monitoring, dashboards and alerting — for example extending Grafana dashboards covering TTFT, TPOT, percentile latency and failure-rate reporting Own and improve operational documentation, runbooks and user-facing status communication Your present skillset Experience in a production support, SRE or platform operations role within a fast-paced environment, with strong ownership of issue resolution end to end Strong Linux and Windows system administration skills Proficiency scripting and automating in Python, Bash and/or PowerShell Solid experience with relational databases such as PostgreSQL or SQL Server, including writing queries for investigation and supporting routine operational processes Practical understanding of monitoring and observability: metrics, logs, traces, dashboards and alerting, and the ability to analyse system data to distinguish a platform-wide problem from a localised one Comfortable debugging distributed, API-driven services: HTTP status and error semantics, timeouts, retries, connection resets, rate limiting, caching and latency percentiles Familiarity with large language model concepts and hosting environments — inference APIs, model gateways/proxies, prompt and context handling, token accounting, streaming responses, prompt caching Exposure to public cloud, ideally AWS (Bedrock, networking, IAM, logging/metrics), and to containerised or Kubernetes-based workloads Ability to communicate clearly with both engineers and non-technical users, and to manage expectations of senior stakeholders during live incidents Awareness of data-sensitivity and access-control considerations when routing workloads to third-party model providers Beneficial Experience supporting developer tooling and AI coding assistants (e.g. Claude Code, OpenCode) or IDE/workspace platforms Experience with Grafana, Prometheus or equivalent observability stacks, including building dashboards and alert rules Experience with CI/CD and infrastructure-as-code (Terraform, Ansible, or similar) Experience operating multi-region services and troubleshooting region-specific performance issues (e.g. APAC latency) Experience acting as the operational interface to third-party vendors and cloud providers during degradations 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 Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across a broad range of asset classes and markets. Driven by data, technology and scientific research, we bring together quantitative expertise and engineering to develop innovative investment strategies. Your future role within QRT As our Energy Trading business continues to grow, we are looking for an Operations Analyst to join our team in Sydney. Sitting close to the trading business, you will play a critical role across the trade lifecycle, partnering with Traders, Risk, Treasury, Finance, Technology and COO teams to ensure our energy trading activity is supported accurately and efficiently. Initially, you will focus on supporting our existing Energy Trading activities across listed and OTC commodity products. As the business evolves, there is scope for the role to broaden into our physical energy and gas activities, providing exposure to new markets, products and increasingly complex operational workflows. This is an opportunity for someone who enjoys being close to the action: solving problems, taking ownership and continually looking for better ways of doing things. What you'll be doing Own key elements of the trade lifecycle, from trade capture and affirmation through to reconciliation, confirmation and settlement. Perform daily cash, transaction and position reconciliations, investigating and resolving breaks quickly and accurately. Support commodity futures, options and OTC products across the Energy Trading business. Act as a focal point for operational issues and queries, working closely with Traders and internal stakeholders to drive resolution. Partner with Prime Brokers, Brokers, Clearing Houses, Administrators and other external counterparties. Work closely with Trading, Risk, Treasury, Finance, Technology and COO teams on operational matters and new initiatives. Identify opportunities to improve processes, strengthen controls and increase automation. Support new products, markets and trading strategies from an operational readiness perspective. As the business develops, help build the operational processes and controls required to support Japan physical energy and gas trading activities. Your present skillset You'll bring 5+ years' experience within Operations or Middle Office in an investment bank, hedge fund, commodity trading firm or similarly sophisticated trading environment. You'll have a strong understanding of the trade lifecycle and experience supporting listed and/or OTC derivatives. Knowledge of commodities – particularly futures and options – will be highly valued, while experience across energy, gas, power, physical commodities or Japanese energy markets would be advantageous rather than essential. Just as importantly, we're looking for someone who: Takes ownership and follows problems through to resolution. Has excellent attention to detail and a strong appreciation of operational risk. Can make sound, independent decisions in a fast-moving environment. Builds credibility with Traders and senior stakeholders. Is analytical, curious and comfortable challenging existing processes. Looks for opportunities to automate and improve rather than accepting "the way it's always been done". Is a collaborative team player who is equally comfortable operating independently. Is keen to learn new products and markets as our Energy business grows. Exposure to automation or technical tools such as Python, SQL or VBA would be beneficial but is not essential. What success looks like Success in this role means becoming a trusted partner to the Energy Trading desk, ensuring trades are processed accurately and on time while taking ownership of issues and resolving exceptions before they become problems. You'll maintain a strong control environment and provide calm, high-quality operational support – including during periods of heightened market activity. Beyond the day-to-day, you'll build strong relationships across the business and continually look for ways to make our operations smarter and more scalable. As our Energy platform grows, you'll have the opportunity to expand your knowledge, help shape new operational processes and play a meaningful role in supporting the evolution of the business. You will build strong relationships across the business, working closely with Traders, Risk, Treasury, Finance and Technology to provide responsive support and practical solutions. Beyond day-to-day operations, you will continually look for opportunities to improve processes, strengthen controls and drive efficiencies through automation and smarter ways of working, helping the team scale as the business continues to grow.

Location: Hong Kong, Singapore Location: Hong Kong, Singapore Programme duration: from 3 to 6 months, starting in 2027. Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology and data are central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and data infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and work alongside engineers, researchers and traders on problems that matter to our research and trading activities. The environment is technical and collaborative, with plenty of scope to ask questions, test ideas and take ownership. Your future role at QRT As part of QRT’s data teams, you’ll work on the systems and datasets behind quantitative research and trading. You’ll collaborate closely with traders, researchers and engineers, tackling problems across data acquisition, engineering and platform design. Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on. Depending on the strongest fit, your internship may focus on one of the following areas: Quantitative Data Analyst – Source and evaluate new datasets based on priorities from our trading desks. You’ll explore how new data can support research, manage sourcing projects from acquisition through to design, and work with Data Engineers to bring useful datasets into production at scale. Data Engineer – Work with large datasets across QRT’s research and trading platforms. You’ll design and implement data stores and APIs, monitor data processes and build production-ready datasets that researchers and traders can use effectively. Data Platform Engineer – Build and maintain the infrastructure used to ingest, process and serve data across our research environment. You’ll work on real-time and batch workflows, with a focus on reliability, latency and efficiently handling growing volumes of complex data. Your present skillset Computer science foundations – A good grounding in areas such as algorithms, data structures, parallel programming and object-oriented programming. Programming – Experience with Python and an interest in using software to solve data or infrastructure problems. Engineering interests – An interest in software engineering, infrastructure or data engineering, particularly where performance and reliability matter. Systems – Curious about high-performance, real-time systems and interested in developing a deeper understanding of how they support trading. Problem solving – A rigorous, structured approach to analysing unfamiliar problems and working towards practical solutions. Communication – Able to communicate clearly and collaborate directly with researchers, traders and engineers. Approach – Self-motivated and keen to develop autonomy as you learn. Preferred qualifications (a plus): Knowledge of SQL or NoSQL databases. Experience with front-end development. An interest in financial markets and/or algorithmic trading. Interviewing Application – Submit your application online. We review applications on a rolling basis. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you approach unfamiliar problems and how you work with others. 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, Singapore Programmes offered: Final-year internship, penultimate-year internship, some permanent opportunities Location: Hong Kong, Singapore Programme duration: 3–6 months, or full-time graduate, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit. QRT’s FPGA team builds ultra-low-latency hardware for our trading systems. By implementing custom logic directly on FPGA devices, the team can process market data and execute orders with tight control over latency, throughput and system behaviour. The work sits at the boundary between hardware and software. We use SystemVerilog, C++ and Python to design, verify and integrate FPGA systems into our wider trading infrastructure. The problems are technically demanding: small design decisions can have measurable consequences, and performance needs to come with reliability. As an intern or graduate in the FPGA team, you will: Build production FPGA systems – Contribute to the design, development and optimisation of FPGA-based platforms used in live trading. Work across hardware and software – Use SystemVerilog, C++ and Python to build, test and refine high-performance, low-latency systems. Develop and verify new functionality – Implement FPGA features that improve how our systems process market data and execute orders, and build the tests needed to verify them. Integrate systems – Work with hardware and software engineers to connect FPGA components with QRT’s broader trading infrastructure. Analyse performance – Debug and profile designs, investigating latency, resource utilisation and other constraints to understand where improvements can be made. Work with modern FPGA technology – Gain hands-on experience with FPGA hardware, development tools and verification workflows used in low-latency trading. Explore new approaches – Contribute to research and development aimed at improving the performance and capabilities of our FPGA systems. Your present skillset Interest in technology: You enjoy understanding how systems work and have explored that interest through software or hardware projects, whether academic, personal or hobby-based. Formal Computer Science training is not essential. HDL experience: Experience or coursework using an HDL such as SystemVerilog, Verilog or VHDL. Programming: Experience with C++ and/or Python. Technical foundations: An understanding of digital logic design, computer architecture and high-speed interfaces. FPGA tools: Familiarity with FPGA development toolchains such as Xilinx Vivado or Intel Quartus is useful, but not essential. Problem solving: You can reason through technical problems methodically, troubleshoot designs and think about trade-offs between performance, resource utilisation and power efficiency. Mindset: Curious, proactive and comfortable asking questions. You look for opportunities to understand systems more deeply and improve how they perform. Approach: Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candi dat es will complete a technical interview with the relevant team . Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you reason through engineering problems and how you work with others. 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, Singapore, Shanghai Location: Hong Kong, Singapore, Shanghai Programme duration: from 3 to 6 months, starting in 2027. Who qualifies : penultimate or final year students completing bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical and collaborative, with plenty of scope to ask questions, explore different approaches and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. Infrastructure The Infrastructure team looks after the on-premise hardware and operating systems behind our production trading environment. The work goes well beyond keeping systems running: engineers measure and optimise hardware performance, investigate Linux internals and tune systems where small changes can make a meaningful difference. You’ll develop a detailed understanding of how hardware and software interact and how to make production systems faster, more stable and more predictable. Research Infrastructure Research Infrastructure builds and operates the high-performance compute, networking and storage systems behind QRT’s research. These systems support large-scale data processing, advanced analytics and machine learning and AI workloads using technologies such as PyTorch. The team works closely with researchers to understand what their workloads need and design infrastructure that can meet those demands efficiently. The aim is simple: give researchers reliable, scalable compute so they can spend more time on research and less time thinking about the infrastructure underneath it. HPC Storage The HPC Storage team builds and operates the high-performance storage infrastructure behind large-scale research and computing workloads across QRT. The problems involve moving and serving large volumes of data reliably, securely and quickly enough to support demanding simulations and analyses. You’ll work with enterprise-scale storage technologies and collaborate with engineers, researchers and technology vendors. It’s an opportunity to understand storage at scale, from the underlying architecture and performance characteristics to the way researchers and compute systems interact with it. Network Operations Network Operations is responsible for the availability, reliability and security of QRT’s global network, connecting the systems behind our research and trading activities. The team investigates incidents, develops observability tooling and builds automation to make operating the network more reliable and efficient. Alongside day-to-day operations, the team works on the infrastructure needed for high-performance compute and low-latency trading. This means understanding how networks behave in practice, finding the source of difficult problems and looking for ways to make systems simpler to operate and easier to observe. DevOps Platform Engineering builds and automates the infrastructure, tools and workflows behind QRT’s research and trading platforms. Working across cloud and on-premise environments, the team brings together DevOps, cloud, networking, security, infrastructure and software engineering. You’ll work on the systems that allow researchers and developers to build, deploy and operate technology efficiently at scale. That could mean improving deployment workflows, automating infrastructure or finding better ways to make complex systems reliable and repeatable. SRE Site Reliability Engineering sits at the intersection of software engineering, quantitative research and trading. Working closely with researchers and traders, the team builds reliable, high-performance systems and develops tooling and automation for deployment, monitoring, operations and incident response. The work combines software engineering with an interest in how systems behave in production. You’ll investigate technical problems, improve observability and help design systems that remain resilient as they scale, while developing an understanding of the quantitative workflows they support. Your present skillset Eligibility – Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Computer Science, Information Technology, Networks or a related subject Interest in technology – We’re interested in what you’ve explored and built, whether through hobbies, personal projects, academic work or open-source contributions. Technical skills – You don’t need experience with everything below. Depending on the team, relevant knowledge and experience may include: Programming or scripting in languages such as Python or Bash. Tools such as Git, SQL and GCC. Confidence working from the Linux command line, including familiarity with Linux/Unix system administration fundamentals. An understanding of storage concepts such as RAID, erasure coding, file systems and networking protocols. Knowledge of networking concepts including TCP/IP and Ethernet. Experience with monitoring and observability tools such as Grafana, Prometheus and PromQL. Hands-on experimentation with Linux, such as building Linux systems on laptops or Raspberry Pis or working with custom Android installations, particularly for on-premise Infrastructure roles. Mindset – Curious about how systems work and comfortable getting into the detail when something doesn’t behave as expected. You approach problems methodically, ask questions and look for practical ways to improve performance or reliability. Approach – Self-motivated, collaborative and comfortable taking ownership of a technical problem. Interviewing: Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Online Interviews – Shortlisted candidates will take part in interviews, either on-site at an assessment centre or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. 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 Programmes offered: Final-year internship, penultimate-year internship, some permanent opportunities Location: Hong Kong Programme duration: 3–6-month internship, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers working on production systems. The environment is technical and collaborative, with plenty of scope to ask questions, investigate unfamiliar problems and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit. As part of QRT’s Security team, you’ll help protect the systems, data and infrastructure behind our global research and trading activities. You’ll work closely with our Cloud, Infrastructure and Network Operations teams to design and implement security controls across a complex, high-performance technology environment. The team works across security engineering, detection and response, vulnerability management and security assurance. Rather than treating security as a separate layer, we work directly with engineering teams to understand how systems behave, identify weaknesses and build practical ways to prevent, detect and respond to threats. As an intern, you’ll contribute to real security problems and have opportunities to build tooling, investigate emerging attack techniques and improve how we automate security work at scale. Your current skillset Eligibility – Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Cyber Security, Informatics, Computing or a related subject Interest in technology – We’re interested in what you’ve explored and built, whether through hobbies, personal projects, academic work or open-source contributions. Technical skills – You don’t need experience with everything below. Examples of relevant knowledge and experience include: An understanding of security principles and technologies such as firewalls, IDS/IPS, vulnerability scanning, password management, encryption and secure coding practices. Programming or scripting experience, particularly with Python or Bash. Confidence working from the Linux command line, including familiarity with Linux/Unix system administration fundamentals. An understanding of networking concepts, including TCP/IP and Ethernet. Experience with monitoring and observability tools such as Grafana, Prometheus and PromQL. Examples of the projects you may work on include: Triage agent development – Use MCP servers to build and improve a triage agent that supports cyber-security investigations. Detection engineering – Reproduce emerging attack techniques in segregated lab environments and test how effectively our detection systems identify them. Security assurance – Contribute to vulnerability research, security reviews and remediation testing, working with security and engineering teams to understand and address weaknesses. Security automation – Build tools and automation that make security assurance more scalable, consistent and effective. Mindset – Curious, proactive and comfortable asking questions. You’re willing to investigate unfamiliar systems, follow evidence and challenge assumptions when something doesn’t look right. Approach – Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Apply Online – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candi dat es will complete a technical interview with the relevant team . Assessment Centre / Online Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. 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: Chicago, 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. The TechOps team manages and supports the company’s development tooling . As a TechOps Engineer, you will play a critical role in maintaining , developing, and improving these tools and supporting the internal users who depend on them. You will be a key point of contact for technical issues, service requests, platform configuration changes, and opportunities to enhance the effectiveness of our tooling. Your Future Role within QRT: Support and administer JFrog applications. Support and administer Atlassian Data Center applications. Investigate, triage, and resolve incidents, service requests, and user issues in a timely and professional manner. Monitor platform health, performance, availability, and usage trends across the development tooling estate. Contribute to performance tuning. Support and troubleshoot CI/CD workflows and integrations. Work closely with engineering, infrastructure, security, and DevOps teams to resolve complex technical issues. Maintain clear documentation, runbooks, support processes, and operational procedures. Lead upgrades, configuration changes, maintenance activities, and platform improvements. Support future migration initiatives. Identify recurring issues and contribute to long-term improvements, automation, and service reliability. Participate in the team’s on-call rota to support the availability and reliability of critical development tooling. Your Present Skillset: A minimum of 5 years’ experience in a technical support, systems administration, TechOps, DevOps or platform operations role. Strong experience supporting JFrog applications. Hands-on experience administrating Atlassian products. Experience with AWS, including EC2, RDS & EKS. Strong troubleshooting skills across applications. Experience investigating performance issues, service degradation, and high-volume platform usage. Experience using Infrastructure as Code and configuration management tools such as Terraform and Ansible. Excellent analytical and problem-solving skills. A proactive mindset, with a focus on continuous improvement and root-cause resolution. Base salary range for this position is $170,000 to $240,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: Hong Kong, Singapore Programmes offered: Final-year internship, penultimate-year internship, some permanent opportunities Location: Hong Kong, Singapore Programme duration: 3–6 months, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical and collaborative, with plenty of scope to ask questions, explore different approaches and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT As a Technology Intern, you’ll help build the systems, platforms and tools behind QRT’s research, trading and investment activities. You’ll work alongside experienced engineers, quantitative developers, researchers and traders, contributing to production technology and solving problems where performance, reliability and good engineering judgement matter. Depending on your interests and strengths, you may join one of two Technology disciplines. Software Engineer (Hong Kong, Singapore) Software Engineers build the technology that underpins QRT’s trading and investment activities. This includes the platforms and infrastructure that connect us to global markets, brokers and data providers, as well as the systems used for order generation, execution, data, analytics, risk management and P&L reporting. The engineering problems vary considerably in scale and shape. At one end, we build ultra-low-latency execution technology where small improvements can matter. At the other, we develop global, cross-asset platforms that need to process large volumes of data reliably and make complex information accessible across the firm. As an intern, you’ll work with experienced engineers, quantitative developers and researchers on defined technical problems. You’ll be expected to understand the problem properly, explore different approaches and make sensible engineering choices. Examples of the projects you may work on include: AI-Powered Static Analysis – Build a tool combining static analysis and large language models to identify double-deletion and memory-management issues in our public API. Exchange Simulator Advanced Order Support – Extend our Exchange Simulator to support market orders, time-in-force instructions and algorithmic orders, making strategy testing more representative of live trading. Data Engineering – Design and build data solutions behind our strategies, working with traders, researchers and engineers to develop robust, scalable infrastructure for quantitative research. Lightweight Trading UI – Create a lightweight trading interface with order entry, live market and position views, and clear visualisation of trading activity. Quantitative Developer (Hong Kong, Singapore) Quantitative Developers work at the intersection of research, trading and engineering. Sitting close to the trading desk, they work directly with researchers and traders to build the technology needed to explore ideas, analyse markets and run strategies in production. The role combines strong software engineering with an understanding of how technology can make quantitative research and trading more effective. That might mean building high-performance execution systems, improving research infrastructure, developing machine learning platforms or creating tools that make complex data easier to work with. You’ll work on live technical problems where performance, reliability and iteration speed all matter. The work is collaborative and gives you direct exposure to quantitative research, financial markets and production trading systems. Examples of the projects you may work on include: Real-Time Trading Systems – Build high-performance C++ systems for real-time trading, contributing to low-latency infrastructure and execution technology where every microsecond can matter. Quantitative Research Platforms – Help develop the platforms used for quantitative research across QRT, including machine learning systems and data pipelines that allow researchers to test and scale ideas efficiently. Research and Trading Tools – Design tools that simplify workflows, improve access to data and make complex information easier to understand through effective visualisation. You’ll work directly with traders, researchers and risk teams to understand their problems and build practical solutions. Your present skillset Eligibility: Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Computer Science, Physics, Mathematics or a related Engineering subject from a leading institution. Interest in technology: You enjoy solving technical problems and understanding how systems work. We’re interested in what you’ve explored and built, whether through personal projects, open-source contributions, hobbies or academic work. Software engineering experience: Hands-on experience writing and working with software, gained through academic or independent projects. Programming: Proficiency in C++, C# or Python. Tools: Familiarity with scripting languages such as Python or Bash, and tools and technologies including Git, SQL, GCC and Linux. Mindset: Curious, proactive and comfortable asking questions. You look for ways to understand systems more deeply and improve how they perform. Approach: Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Assessment Centre / Online Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. 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, Singapore, Shanghai, Beijing Programme duration: 3–6 months, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s, master’s or PhD degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Research is central to how QRT invests. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from high to low frequency. This gives our researchers access to large and diverse datasets, sophisticated research tools and the infrastructure needed to turn research ideas into live trading strategies. Our internships are designed to give students meaningful experience of that process. You’ll join a systematic team, work on real research or trading problems and learn from experienced researchers and traders. The environment is rigorous and collaborative: ideas are tested against data, assumptions are challenged and good questions matter as much as quick answers. Your future role at QRT Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit. As a Quantitative Research Intern, you could contribute in one of two complementary areas within one of QRT’s systematic teams, spanning high, mid and low frequencies: Research Your focus will be on developing predictive signals from large and varied datasets. You’ll explore the data for patterns and form hypotheses about what might be driving them. From there, research is iterative: you’ll design tests, question the results, adjust your approach and test again. Working with other researchers, you’ll learn to distinguish promising signals from noise. In doing so, you’ll experience the full research process, from an initial observation to something that can be used in live trading. Trading You’ll contribute to the live deployment of QRT’s research by working directly with our systematic trading platform. You’ll monitor how signals behave in production, track performance, improve execution efficiency and help identify and manage potential risks. Working closely with senior Researchers and Traders you’ll investigate how strategies behave in production and look for ways to make them more robust and scalable. You’ll use quantitative analysis and programming to understand what is happening in live systems and determine where improvements can be made. Across both areas, how you approach a problem matter. We’re looking for interns who are curious, creative and collaborative. You should be comfortable exploring ideas, asking questions and learning as you go. Your present skillset Academic background – Pursuing an advanced degree in a quantitative field such as Data Science, Statistics, Mathematics, Physics or Engineering. Quantitative foundations – Strong analytical skills and an interest in using mathematics, statistics and computation to understand complex problems. Programming – Coding experience in at least one leading programming language, including Python, C++ or C#. Research interests – Knowledge of statistics, machine learning, NLP or AI techniques is useful but not essential. Data – Experience exploring large datasets across multiple time horizons is a plus. Problem solving – Able to work through complex problems rigorously while maintaining strong attention to detail. Independence and collaboration – Comfortable working autonomously while exchanging ideas and working closely with colleagues from different disciplines and backgrounds. Communication – Able to explain your reasoning and communicate technical ideas clearly. Languages – Fluent in English; additional languages are a plus. Interviewing Apply Online – Submit your application online. Applications are reviewed on a rolling basis by our Talent Acquisition team. We read applications carefully, so thoughtful answers that explain your interests and motivations are useful. Technical Assessment – Selected candi dat es will complete a coding challenge focused on core programming and problem-solving skills . Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your quantitative and technical thinking, how you approach unfamiliar problems and how you work with others. We also encourage candidates to take part in one of our Data Challenges . These are an opportunity to work on problems relevant to quantitative research and demonstrate your analytical and technical approach. Strong performance may lead to direct follow-up from our team: Challenge dat a (ens.fr) 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 Execute trades across APAC equity markets in a timely and cost-efficient manner Maintain systems for tracking order execution, trade booking, P&L and slippage calculations etc. Monitor market movements and take appropriate risk when opportunities arise Support researchers in exploring new markets by engaging with market participants and developing an understanding of local market dynamics Your present skillset 2–5 years of experience in execution trading (including electronic and manual execution), program trading, or sales and trading across APAC equity markets. Strong ability to multi-task in a fast-paced environment while keeping strong attention to detail Coding skills in at least one leading programming language (Python, R, MatLab and /or C++, C#) is a strong plus Ability to work autonomously within a collegial and collaborative environment Strong communication skills, enabling effective collaboration with researchers, traders and technologists globally 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 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 ensures the stability, performance, and optimization of QRT’s technology environment. The team collaborates with engineers, business stakeholders, and end users to troubleshoot issues, improve monitoring and instrumentation, and deliver solutions that support latency-sensitive trading platforms. Who we are looking for We are seeking an exceptional Technical Program Manager to join the QRT IT infrastructure team tasked with driving the innovation of its next generation systems infrastructure. This is an exciting opportunity for the right candidate to help facilitate QRTs’ growth. The successful candidate will be accountable for the end-to-end delivery of multiple parallel infrastructure projects to support our growing trading venues footprint. You will be working closely with QRTs compute, network engineering and data center operations teams as well as QRT’s partners and financial exchanges. As part of the role, you will be exposed to trading and enterprise projects - working in a fast paced, collaborative and supportive environment delivering best in class infrastructure for the business. Your future role within QRT •  Plan and manage the infrastructure delivery of new trading sites in colocation at proximity venues through effective project/task management and resource planning •  Assist the networking team in gathering requirements and coordinating with vendors, brokers and exchanges for new connectivity/access to markets •  Manage infrastructure provisioning and deployment across colocation and regional data centres, ensuring performance and scalability •  Assist QRT infrastructure team in managing allocation of compute resources across all QRTs colocations and datacentres. •  Build up working knowledge of QRT’s business and technology stack •  Ensure project stakeholders are kept up to date on status / timelines / project blockers using the Atlassian JIRA system •  Ensuring infrastructure projects are delivered on time and to the highest quality Your present skillset •  At least 10 years’ experience delivering electronic trading infrastructure implementations •  Previous experience of the financial technology industry is a must •  Knowledge of trading colocation environments is a must •  Strong knowledge of trading infrastructure (Linux, Networking) •  Good working knowledge of exchange connectivity (market data/order entry) •  Effective project management skills and practices. •  An analytical thinker with excellent problem-solving abilities. •  Excellent communication & collaboration 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: 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 at QRT: We’re looking for a hands-on Software Engineer to join QRT. In this role you’ll build out the tooling that manages and monitors production datasets, keeping them flowing, observable, and reliable. You’ll work closely with other engineering teams and business stakeholders to deliver a mission-critical platform that prevents material trading losses. Your responsibilities will include: Developing and maintaining a platform which ensures the quality and correctness of our datasets, and alerts stakeholders to critical production issues Maintaining and improving shared libraries which are used by developers across the data-function and facilitate the rapid onboarding of new datasets Designing, building, and documenting our integrations with other team’s processes, which alert them to relevant issues with our data-pipelines Supporting users in best practice usage of our tooling, migrating code to the latest standards as well as investigating, debugging and resolving issues with our platform Your present skillset: Bachelor's or Master's degree in computer science, engineering or a related field Previous experience in software engineering, exposure to financial data is a plus Strong computer science fundamentals and proficiency in Python/Rust Familiarity with Kubernetes, container orchestration, and cloud infrastructure Exposure to the front-end, particularly with regards to custom monitoring dashboards, is a plus Knowledge of data-quality frameworks (Soda/Great Expectations) is a plus Excellent communication skills and a collaborative mindset to work effectively with other engineers, quants and traders Ability to work autonomously within a global team 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 Network Automation team builds reliable, scalable tools that simplify network operations and improve engineering efficiency. We partner with our expert network engineers, infrastructure teams and business stakeholders to turn operational workflows into production-grade applications and intuitive user experiences. In this role you will work across the full development lifecycle, contributing to backend services, frontend interfaces, testing, deployment and observability. You will help shape technical decisions, improve engineering practices and build tools that make network operations safer, faster and more reliable. Prior networking experience is useful but not essential; curiosity about infrastructure automation and a willingness to learn the domain are highly valuable. Your Future Role within QRT Design, build and maintain scalable network automation applications. Develop and drive the design of reliable backend services and APIs, as well as contribute to modular frontend UIs. Work closely with network engineers, infrastructure teams and stakeholders to understand requirements and translate them into practical solutions. Build systems that are observable, testable, maintainable and well documented. Contribute to code reviews, testing practices, CI/CD pipelines and deployment processes. Build on and improve our agentic development workflows, to enable us to Help the team adopt effective tooling, modern engineering practices and responsible AI-assisted development workflows. Your Present Skillset Strong production experience in at least one of Go, Python, plus working knowledge of React/TypeScript. Willingness and ability to work across backend and frontend codebases. Experience analysing complex problems and building robust, maintainable systems. Ability to communicate technical decisions, progress and risks clearly to both technical and non-technical audiences. Experience working in Agile delivery environments, including planning, estimation and iterative releases. Desirable Experience working with cloud environments, preferably AWS. Experience with structured data and relational databases such as SQL/PostgreSQL. Experience with observability tools such as Prometheus, Alertmanager and Grafana. Experience in network automation, infrastructure automation, NetDevOps or operational tooling. Knowledge of automated testing, CI/CD, DevOps practices and infrastructure-as-code tooling such as Terraform. Knowledge of network inventory, configuration management, IPAM, monitoring or provisioning systems. 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 on the development, maintenance and evolution of trading systems that support production activity across multiple asset classes. The role combines responsibility for an established platform with the development of a new system that will progressively replace it. You will work closely with traders, developers and other stakeholders to preserve production stability while improving architecture and delivering new functionality. Your future role within QRT Develop, maintain and enhance applications supporting trading workflows Investigate production issues and deliver fixes and improvements while maintaining system stability Contribute to the architecture and development of a new trading platform Understand existing workflows and business logic and ensure critical functionality is carried forward into new systems Collaborate with traders, developers and other stakeholders to understand requirements and deliver practical solutions Improve system performance, reliability and maintainability across both existing and new applications Your present skillset 6+ years of professional software development experience, preferably working with complex production systems Strong C# and .NET development experience Strong software engineering fundamentals and object oriented design experience Good understanding of multithreading, concurrency, asynchronous programming and thread safety Experience developing high performance or real time applications Knowledge of TCP/IP, messaging, APIs and distributed systems Strong SQL and relational database knowledge Strong debugging, troubleshooting and performance analysis skills Experience with unit testing, integration testing and modern development practices Experience developing or supporting trading systems is beneficial Knowledge of trade and order execution across asset classes such as FX, Equities, ETFs or Options is advantageous Familiarity with market data, order management, execution workflows, FIX or similar trading protocols is beneficial Strong ownership and a pragmatic approach to working with both established and new systems Ability to understand complex systems and business logic before implementing changes Strong problem solving, communication and collaboration skills Willingness to share knowledge and develop a broader understanding of trading systems and workflows 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: 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 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 our newly established Security team in New York, working as part of QRT’s global Security function, which safeguards QRT's technology platforms, data, and operational environments. You will design, build, and operate secure infrastructure platforms that support the evaluation and adoption of emerging technologies, combining deep security expertise with strong engineering skills to deliver scalable controls, effective risk management, and a low-friction experience for engineers, researchers, and data scientists. Your Future Role within QRT Design and build secure platforms for the evaluation and adoption of emerging technologies across cloud and on-premises environments. Develop reusable security architectures, isolation patterns, trust boundaries and guardrails. Evaluate new technologies, identify risks and translate them into practical engineering controls. Design security across networks, identity, privileged access, containers, Kubernetes and workload isolation. Automate security by default using infrastructure-as-code, policy-as-code, APIs and software engineering. Apply LLMs, AI-assisted tooling and emerging technologies to improve security engineering and automation. Perform threat modeling and risk assessments for new infrastructure, software, cloud services, and emerging technologies, translating risks into practical controls. Partner with Infrastructure, Engineering, Research, and business teams to deliver secure, usable solutions and communicate risk clearly to technical and non-technical stakeholders. Your Present Skillset 7+ years of experience in security engineering, platform security, cloud security or infrastructure engineering. Strong experience designing secure hybrid infrastructure, ideally including AWS. Deep knowledge of network security, IAM, least privilege and defence-in-depth. Hands-on experience with containers, Kubernetes, virtualisation and workload security. Strong infrastructure-as-code and automation experience, particularly Terraform. Strong scripting or software development skills in Python, Go, PowerShell or similar. Practical experience with threat modelling, CI/CD security and software supply-chain security. Curious, automation-minded and comfortable working with new and unfamiliar technologies. High ownership, can-do and low ego, with strong collaboration, communication and judgement. Base salary range for this position is $180,000 to $260,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

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. 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.