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: 

• Drive joint research projects, PhD collaborations, and knowledge-exchange programs that advance academic excellence.
• Partner with Research and Technology Leads to identify academic expertise and emerging research areas and drive regular project reviews with constructive feedback to build strong technical and research capabilities.
• Build and nurture strong partnerships with leading premier universities, academic institutions, and research groups.
• Position the firm as a trusted partner for advanced research, fostering both applied and theoretical collaborations.
• Design and deliver high-quality training across quantitative methods, programming, engineering practices, and applied research.

Your present skillset: 

• PhD in mathematics, statistics, machine learning, finance, computational finance.
• Demonstrated expertise and a minimum of 3 years' experience in quantitative research methods, such as optimization, statistical modelling, portfolio construction or factors/empirical asset pricing.
• Proficiency in Python, with a hands-on approach to coding, data analysis, and research implementation.
• Excellent communication skills, with the ability to present complex concepts clearly to both technical and non-technical audiences.
• A strong interest in teaching, mentoring, and capability development, with a collaborative and enablement-focused mindset.
• Active engagement with the academic and research community, including experience in building and maintaining external collaborations.

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. 

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 

Financial Data Analyst team is responsible for producing high quality data for QRT quant and discretionary business. This team is specialized in extracting data from sources which are very complicated to automatize but proven to have lot of value to business.

In this role, you will lead the team and help expand and strengthen its capabilities. You will work closely with stakeholders across research, trading, and technology. The role combines hands-on execution with opportunities to guide projects, improve processes, and support team members.

You will play a key role in ensuring that high-quality, well-structured data is available to support informed decision-making across the organization.

Key Responsibilities: 

• Primary responsibility would be the team and project management spanning across multiple stake holders
• Propose and enforce best practices in the team in data extraction and presentation
• Support and mentor team members while contributing to a collaborative and inclusive team environment
• Develop and improve processes for extracting, validating, and organizing data from sources such as websites, PDFs, and other formats
• Build and enhance automation workflows using Python and Excel to improve efficiency and scalability
• Collaborate with cross-functional teams to understand data needs and deliver usable, high-quality datasets
• Maintain data quality by identifying and resolving inconsistencies or gaps
• Share relevant market updates and insights with stakeholders
• Stay informed about evolving tools, technologies, and data sources, including emerging applications of AI/LLMs

Your Present Skill Set: 

• Bachelor’s or master’s degree in finance, Computer Science, Data Science, or a related field
• 10+ years of experience in financial data research or a related domain
• Strong understanding of financial markets and data sources
• Experience in team management and project management
• Strong hands-on experience with Python for data extraction and processing
• Experience working with both structured and unstructured datasets (e.g., filings, earnings calls, alternative data)
• Strong analytical skills and attention to detail
• Comfortable working with stakeholders across different functions
• Effective communication skills, both written and verbal, with the ability to present complex data in a clear and concise manner.
  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective is to develop and maintain web scraping tools to build datasets for research and trading
• Contributing to integrate datasets from internal or external providers
• Manage the multiple and extensive dataset used in the QRT research and trading platform
• Monitoring fetching processes and data health
• Supporting users (Quants & Traders)

Your present skillset

• 4+ years’ experience in web scraping
• Advanced English, both written and verbal communication skills
• Polyglot developer, Python coding is important
• Software engineering best practices
• Ability to communicate and understand user needs
• Structured and unstructured data management expertise is a plus
• Knowledge of the financial data of equity/derivatives is a plus
• Intellectual curiosity to learn new technologies
• Capacity to work with autonomy 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.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT: 

• Your core objective is to create high quality predictive signals. 
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. 
• Share and discuss research results, methodology, data sets and processes with other researchers. 
• Implement the signals and the relevant datasets within the global execution platform. 
• Monitor signal behavior and model performance over time within your strategies. 
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset: 

• Min 3 years of relevant experience with strong track record.
• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

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. 

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.

Your future role within QRT

• Design and implement low-latency trading systems on Linux, focused on throughput, reliability, and determinism
• Engineer scalable, high-performance distributed systems that support global real-time trading workflows
• Analyse system behaviour using low-level tools such as packet captures, core dumps, and runtime profilers
• Apply deep expertise in TCP, UDP, and multicast to understanding trade-offs in short-haul vs long-haul networks
• Continuously profile, benchmark, and optimise code to reduce latency and increase throughput
• Engage across the full software lifecycle: from architecture to debugging in live trading environments

Your present skillset

• 7+ years of professional C++/C development experience on Linux, including modern C++ and multithreading
• Strong expertise in TCP, UDP, multicast, and performance trade-offs in low-latency networks
• Experience building and operating high-throughput distributed systems in production
• Familiarity with scalable I/O models (e.g., epoll, io_uring), lock-free structures, and concurrent programming
• Deep attention to detail with a rigorous approach to performance troubleshooting and optimisation
• Proficiency in system-level tools (e.g., gdb, perf, tcpdump, valgrind, wireshark)
• Comfortable working autonomously and taking ownership from problem to solution
• Scripting experience (e.g., Python, Bash) and exposure to CI/CD or observability tooling is a plus
• Prior exposure to electronic trading or exchange-facing systems 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.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

As a Senior Software Engineer on our Market Access team, you will design and develop high-performance systems that drive our trading capabilities.

Your future role within QRT

• Build high-performance, low-latency C++ applications for trading.
• Work with traders, FPGA engineers, DevOps, and other teams to create seamless solutions.
• Write clean, maintainable code and participate in code reviews, debugging, and optimization.
• Lead discussions on system design, ensuring alignment with business and technology goals. 
• Partner with system administrators and network engineers to optimize deployments.
• Mentor team members in best practices and contribute to the continuous improvement of our software development processes. 

Your Present Skillset 

• Experience in C++ development (C++11/14/17/20), and multi threaded, high-performance applications on Linux. 
• Demonstrated experience in system-level architecture design for trading or other performance-critical environments. 
• Strong understanding of low-latency techniques, system profiling, and tuning
• Previous experience as a people manager or technical lead, demonstrate examples of leading engineers on different projects
• Familiarity with advanced debugging tools and performance analysis techniques. 
• Understanding of financial products and trading systems is preferred. 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT: 

• Your core objective is to create high quality predictive signals. 
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. 
• Share and discuss research results, methodology, data sets and processes with other researchers. 
• Implement the signals and the relevant datasets within the global execution platform. 
• Monitor signal behavior and model performance over time within your strategies. 

Your present skillset: 

• Proven track record in delivering successful Crypto systematic strategies. 
• Minimum 2 years of experience in the financial industry.  
• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering. 
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus. 
• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail. 
• Good fundamental crypto knowledge is a plus. 
• Experience with one or more of the below is a plus: 
• Crypto specific data sets, DeFi, latency-sensitive, ML/AI or strategies in production  
• Coding skills required in at least one leading programming language, Python preferred, C++ is beneficial. 
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields. 
• Capacity to work with autonomy within a collegial and collaborative environment. 
• Strong capacity to communicate with technologists, data scientists and traders across the globe. 

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. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective is to manage the multiple and extensive dataset used in the QRT research and trading platform
• Contributing to design and implementing QRT data store and its API
• Monitoring fetching processes and data health
• Integrating alternative datasets
• Supporting users (Quants & Traders)

Your present skillset

• 2-10+ years' experience in a related field
• Advanced knowledge of Python is a must
• C#, Rust, JavaScript nice to have
• Previous experience handling and processing large amounts of both structured and unstructured data 
• Experience using new age technologies like data-lake, data-mesh in cloud
• Prior experience in financial assets, market data and it's data vendors is a plus
• Intellectual curiosity to learn new technologies to build scalable and robust products
• Capacity to work with autonomy within a global team
• Advanced English, both written and verbal communication skills required to understand business requirements

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

You will be part of a team responsible for delivering technology solutions that support global regulatory reporting and compliance requirements. The team works closely with Trading, Operations, Compliance, and Technology to ensure accurate, timely, and compliant reporting across multiple regulatory regimes with a strong focus on the US.

Your future role at QRT: 

• Act as a Technology Business Analyst supporting regulatory reporting and compliance workstreams.
• Translate regulatory requirements into clear business requirements, data mappings, and actionable JIRA tickets for development team.
• Support global regulatory reporting obligations with strong focus on US regulatory regimes.
• Partner with technology teams across development, testing, and implementation to ensure regulatory intent is accurately delivered.
• Support incident analysis, remediation, and root cause investigations related to regulatory reporting.
• Work with internal platforms and third-party vendors to ensure accurate and timely submissions.
• Coordinate and drive delivery across Tech, Operations, Trading, and Compliance under strict regulatory timelines.
• Support UAT, validation, and business sign-off for regulatory reporting changes.

Your present skillset:

• 5+ years of experience as a Business Analyst within Regulatory Reporting or Compliance Technology
• Solid understanding of regulatory reporting concepts (trade reporting, transaction reporting, valuations)
• Hands‑on exposure to US regulatory reporting obligations
• Hands-on experience on FIX based connectivity protocols for gap analysis (venue vs firm’s FIX dictionary)
• Ability to translate complex regulatory rules into structured, testable requirements
• Experience working in incident‑driven, time‑critical environments with high regulatory scrutiny
• Strong analytical skills with attention to data accuracy and detail
• Clear, confident communicator with the ability to challenge ambiguity and incomplete requirements

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.

Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and the relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.