At a Glance
- Tasks: Design and build systems for trading strategies in a collaborative environment.
- Company: Winton, a leading research-based investment management firm.
- Benefits: Gain hands-on experience with cutting-edge technology and work alongside industry experts.
- Other info: Equal opportunity workplace with excellent career growth potential.
- Why this job: Make an impact in finance while developing your skills in a dynamic team.
- Qualifications: 1st class degree in Computer Science and strong Python skills.
The predicted salary is between 54000 - 66000 £ per year.
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
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.
Quantitative Developer, Graduate in London employer: targetjobs UK
Bloomberg is an exceptional employer, offering a dynamic work environment in London where you can develop your skills in analytics and sales while providing unparalleled customer support to clients across the globe. With a strong emphasis on employee growth, our comprehensive training program equips you with the knowledge needed to excel in the financial markets, while opportunities for career advancement abound within the company. Join us to be part of a culture that values innovation, collaboration, and a commitment to delivering outstanding service.
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We think this is how you could land Quantitative Developer, Graduate in London
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We think you need these skills to ace Quantitative Developer, Graduate in London
Some tips for your application 🫡
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