The Research Engineer will research, test, and deploy trading strategies, build research infrastructure, and collaborate on trading ideas while implementing solutions in Python and C++.
We are looking for a research engineer to research, test, and deploy new trading strategies, as well as to design and build research infrastructure to test trading ideas.
Candidates focusing on strategy development should be strong quantitative problem solvers interested in identifying and monetizing statistical patterns in the financial markets and also adept at implementing their ideas in Python. We are looking for someone who is both intellectually curious and also self-sufficient to help maintain and develop various trading strategies.
Candidates with software implementation skills and comfort in implementing both performant code and designing user-friendly tools will also be strongly considered. We are looking for someone who is effective at building usable software quickly and correctly to extend the scope of our quantitative research and coverage of our trading strategies.
Compensation consists of base salary, discretionary performance bonus, and possible participation in longer-term incentive schemes.
Duties
- Writing Python code to express statistical ideas and relationships between securities
- Coming up with and iterating upon novel ideas and hypotheses about market participants and dynamics
- Collaborating with teammates on new trading ideas
- Extending existing research tools to support novel use cases and needs, as well as designing and implementing new tools to support research and trading needs
Qualifications
- Bachelor’s in computer science, mathematics, physics, or similar field, with strong familiarity with statistics and quantitative problem-solving
- Self-sufficient ability to implement statistical ideas in code
- Strong familiarity with Python and C++ (or equivalent) preferred
- Interest in financial markets or learning more about financial markets
- Previous experience in quantitative finance or trading is a plus, but is not required
Benefits
- Catered meals and bountiful snacks
- Generous budget for home office equipment
- Health / pension
- Fitness and wellness benefits
- Base compensation: £150,000-250,000 with additional discretionary annual performance bonus
Top Skills
C++
Python
Similar Jobs
Information Technology • Software • Financial Services
Design, develop, test, and deploy automated trading system software solutions in collaboration with Quantitative Researchers, utilizing sophisticated statistical techniques.
Top Skills:
C++Distributed ComputingMachine LearningNatural Language ProcessingNetworkingPlatform DevelopmentPythonRSystem DesignWeb Development
Artificial Intelligence • Information Technology
The Research Engineer Intern will support development in scalable experimentation, optimize system inference, and engage with the research community in AI.
Top Skills:
JaxPythonPyTorch
Artificial Intelligence • Biotech
The Machine Learning Research Engineer will design and implement foundational AI models and infrastructure for multi-omics, focusing on high-performance ML algorithms and scalable data pipelines for biomedical applications.
Top Skills:
GpuHpuJaxPyTorchTensorFlowTpu
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.


