At a Glance
- Tasks: Build AI-powered tools and platforms to enhance productivity in trading operations.
- Company: Join Qube Research & Technologies, a leader in quantitative investment management.
- Benefits: Enjoy a competitive salary, flexible work options, and a focus on work-life balance.
- Other info: Collaborative culture that values diversity and innovation.
- Why this job: Make a real impact by driving AI adoption in high-frequency trading.
- Qualifications: Strong Python skills and experience with AI systems and production environments.
The predicted salary is between 63000 - 77000 £ per year.
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.
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Senior AI Engineer employer: Quberesearchandtechnologies
At Qube Research & Technologies, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages professional development. Located in a vibrant area, we offer competitive benefits and the chance to work with cutting-edge technologies in identity and access management, making your role both meaningful and rewarding.
Contact Details:
Quberesearchandtechnologies Recruitment Team
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