Quantitative Developer, Commodities in London

Quantitative Developer, Commodities in London

London Full-Time 63000 - 77000 £ / year (est.) No working from home possible
Winton Capital US LLC

At a Glance

  • Tasks: Design and implement cutting-edge trading systems for commodities in a collaborative environment.
  • Company: Join Winton, a leader in investment management with a focus on innovation.
  • Benefits: Competitive salary, professional development, and a dynamic work culture.
  • Other info: Opportunity to grow in a fast-paced, tech-driven environment.
  • Why this job: Make a real impact in the finance world while working with top-tier professionals.
  • Qualifications: Bachelor's degree in Computer Science or related field, plus 5+ years of experience in Python.

The predicted salary is between 63000 - 77000 £ per year.

We seek an experienced and talented quantitative developer to join the Investment Management & Research group at Winton. The role sits within our Fundamental Commodities strategy and will work closely with the Senior Portfolio Manager. You will work within a collaborative quantitative research environment to design and implement trading systems and tools that support the firm’s trading and research capabilities.

Responsibilities

  • Develop reliable and performant trading systems and strategies
  • Design and optimise trading infrastructure to provide a seamless path from research to live trading
  • Partner with the Portfolio Manager to develop frameworks for data validation and monitoring

What We're Looking For

  • Bachelor's degree in Computer Science, Engineering or a related field
  • 5+ years of commercial development experience, with strong skills in Python
  • Hands-on experience with building and deploying data pipelines
  • 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

  • Experience of developing trading systems for commodity derivatives in a systematic hedge fund
  • Experience of working closely with researchers and portfolio managers
  • Basic knowledge of statistical modelling in a financial context
  • Experience with parallel & concurrent processing, e.g. Dask
  • Familiarity with containerised cloud development, deployment and management (Docker, Kubernetes, AWS)

Quantitative Developer, Commodities in London employer: Winton Capital US LLC

Winton Capital US LLC is an exceptional employer that fosters a collaborative and innovative work culture, where data analysts play a crucial role in ensuring the integrity and accessibility of critical datasets. Located in a dynamic environment, employees benefit from continuous professional development opportunities and a commitment to excellence, making it an ideal place for those seeking meaningful and rewarding careers in data analysis.

Winton Capital US LLC

Contact Details:

Winton Capital US LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Developer, Commodities in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Winton Capital US LLC!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quantitative Developer, Commodities at Winton Capital US LLC.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Winton Capital US LLC.

Apply Directly through Our Website

When you find a suitable opening like Quantitative Developer, Commodities at Winton Capital US LLC, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Quantitative Developer, Commodities in London

Python
Data Pipeline Development
CI/CD
Kafka
Airflow
Communication Skills
Collaboration Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Winton Capital US LLC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Winton Capital US LLC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Winton Capital US LLC

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Winton Capital US LLC!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.