Quantitative Developer, Graduate

Posted Yesterday
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London, Greater London, England, GBR
In-Office
Entry level
Artificial Intelligence
The Role
Develop and maintain software systems supporting systematic commodities trading and research. Responsibilities include building data-ingestion pipelines, deploying trading strategies, maintaining trading infrastructure, improving data visualizations, and validating production data. The role begins with software development and may progress toward independently leading quantitative research projects. Collaboration with portfolio managers, researchers, and senior developers is required.
Summary Generated by Built In
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
 
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.

Skills Required

  • First-class undergraduate degree in Computer Science
  • Relevant internship in software engineering, quantitative development, or a related placement
  • Strong Python skills
  • Hands-on experience building and deploying data pipelines through internship, academic, or personal projects
  • Familiarity with modern infrastructure, including CI/CD, Kafka, and Airflow
  • Excellent communication and collaboration skills
  • Attention to detail and commitment to engineering best practices
  • Ability to prioritize, plan, and deliver projects on time
  • Postgraduate qualification
  • Exposure to trading systems for commodity derivatives or systematic hedge funds
  • Experience working with researchers and portfolio managers
  • Basic knowledge of statistical modeling in a financial context
  • Exposure to parallel and concurrent processing, such as Dask
  • Familiarity with containerized cloud development, deployment, and management using Docker
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The Company
HQ: London
184 Employees
Year Founded: 1997

What We Do

Winton is a quantitative investment management firm. Our goal is to generate returns for our clients across a range of market environments. The design of our strategies is based on original research, rigorous statistical analysis, and deep experience of markets. Winton was founded in 1997 by Sir David Harding and counts some of the world’s largest institutional investors as clients

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