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 highly motivated Data Engineer to join Investment Management & Research department at Winton. You will be working in a small team of experienced data and software engineers responsible for managing all data feeding into our trading strategies across various asset classes. This is a critical function that is essential to the successful operation of Winton’s core business.
Over the past decade, we have built a best-in-class data pipeline that allows us to ingest, process and distribute data across the Investment Management department. You will be leveraging this data pipeline heavily in your day-to-day to carry out the following responsibilities.
Your responsibilities will include:
- Understanding existing and new data products delivered to us by our data vendors and liaising with them as a technical stakeholder where appropriate.
- Writing Python code to translate these products into datasets suitable for trading system consumption, following best practices of data engineering.
- Creating and maintaining automated data quality tests to ensure all datasets meet the standards specified by our quantitative strategies.
- Actively support the day-to-day operation of our data pipelines by being a primary responder to data related issues, taking ownership of and solving real-time problems to achieve timely delivery of datasets required for trading.
- Participate in team shift rotations, including the out-of-hours on call rota
What we are looking for:
- A bachelor’s or master’s degree in a STEM subject.
- Familiarity with Python
- Familiarity with basic pandas functionality and data structures.
- A commitment to engineering excellence and practical technology solutions.
- A desire to work in an operational role at the heart of a dynamic data-centric enterprise.
- Excellent communication and collaboration skills.
What would be advantageous:
- Up to 2 years of experience working with Python within a commercial environment.
- Up to 2 years of experience working with large datasets, preferably time series data
- Deep understanding of pandas data structures and functionality
- Any operational experience supporting real time systems.
- Proficient in SQL; confident in exploring SQL databases and creating ad hoc queries.
- Any working knowledge with any of these technologies: Amazon S3, Airflow, Kafka, 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.
