Quantitative Developer/Researcher, Graduate
This listing is for a Quantitative Developer/Researcher, Graduate role at Winton, in London, United Kingdom. The listing describes it as a full-time, entry-level position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
This listing is for a Quantitative Developer/Researcher, Graduate role at Winton, in London, United Kingdom. The listing describes it as a full-time, entry-level position.
The advert mentions Python, Kafka, Airflow, AWS, Kubernetes, Docker and CI/CD among the skills and tools for this role.
The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.
Visa sponsorship is not mentioned. Applicants from outside United Kingdom should check the official work permit route before applying.
Dev Global Jobs found this job on Arbeitnow on Nov 8, 2026.
- Employer
- Winton
- Location
- London, United Kingdom
- Job type
- Full-time
- Level (from the title)
- entry-level
- Pay
- Not stated by the employer
- Found
- Nov 8, 2026 on Arbeitnow
- Employer text
- 414 words, about 2 min to read
- Apply only on the official page (arbeitnow.co.uk). Dev Global Jobs is not the employer and never asks for a fee.
- Mirror the skills the advert names (Python, Kafka, Airflow and AWS) in your CV where you really have them; applicant tracking systems look for these words.
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DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for United Kingdom (ICSC post adjustment 76.4), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- Skilled Worker visa: Job offer from a licensed sponsor at the required skill and salary level; English requirement
- Health and Care Worker visa: Eligible health and social care roles with a licensed sponsor
- Global Talent visa: Endorsement as a leader or potential leader in a listed field
Official routes: UK Visas and Immigration (GOV.UK)
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
01About 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.
02Your 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
03What 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
04What 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)
05Equal 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.
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