WintonQuantitative Developer/Researcher, Graduate
Winton is hiring a Quantitative Developer/Researcher, Graduate in London, United Kingdom. Level rates it ; you can apply on Winton.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Python, Kafka and Airflow.
- Level classifies it as a junior role.
- Level lists 6 other open roles at Winton.
AI in this role
Develop and maintain systematic trading infrastructure, data pipelines, and quantitative research tools as a graduate developer.
About Winton
Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world’s largest institutional investors.
We employ ambitious professionals who want to work collaboratively at the leading edge of investment management.
We are seeking a talented quantitative developer to join the Investment Management & Research group at Winton. The role sits within our Fundamental Commodities strategy, where you will work closely with the Senior Portfolio Manager. Within our collaborative environment, you will help design and build the systems and tools that underpin the firm's trading and research.
Your focus will initially be on software development: adding functionality required for new trading strategies and maintaining the existing signal pipeline. Over time, you will become more involved in research, eventually running projects independently.
Your responsibilities will include:
- Design, implement and maintain pipelines for the ingestion of new datasets for systematic trading strategies
- Partner with the Portfolio Manager and senior developers to deploy new trading strategies
- Maintain and improve trading infrastructure, data visualisations and data validation in a production environment
What we're looking for:
- 1st class undergraduate degree in Computer Science
- Postgraduate qualifications are preferred but not necessary
- Completed a relevant internship (e.g. software engineering, quantitative development, or a related placement), with strong skills in Python
- Hands-on experience with building and deploying data pipelines, gained through internship, academic, or personal projects
- Familiarity with modern infrastructure (CI/CD, Kafka, Airflow)
- Excellent communication and collaboration skills
- Detail orientated, with a commitment to best engineering practices
- The ability to prioritise, plan and deliver to projects in a timely manner
What would be useful:
- Academic or internship exposure to trading systems for commodity derivatives, ideally within a systematic hedge fund
- Experience of working closely with researchers and portfolio managers
- Basic knowledge of statistical modelling in a financial context
- Exposure to parallel & concurrent processing, e.g. Dask
- Familiarity with containerised cloud development, deployment and management (Docker, Kubernetes, AWS)
Equal Opportunity Workplace
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
How we rate this
Quantitative Developer/Researcher, Graduate at Winton rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where quantitative research was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where software development was part of your work. What did you do?
- Tell me about a project where trading systems was part of your work. What did you do?
- Tell me about a project where ci/cd was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Quantitative Research, Data Pipelines, Software Development, Trading Systems, and CI/CD. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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