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Research & Investment Management is at the core of Winton's business. As a systematic manager, our investment process involves the use of large amounts of data and the identification of hard-to-detect patterns. Winton's researchers and data scientists work collaboratively to develop robust trading strategies based upon original investment hypotheses, which are tested rigorously with extensive computational and data resources. Ultimately, Winton builds automated investment systems for trading financial markets.
Responsibilities:
Sourcing, integrating, curating and analysing new datasets
Actively furthering our understanding and efficient use of data
Collaborating with research colleagues and supporting their efforts to fully leverage our data assets
Delivering high-quality research, processes and tooling in support of our research goals
Values:
Intellectually curious about data and technology, with an exploratory mindset and the pragmatism suitable for a commercial research environment
Approachable and able to communicate effectively, whether in person or electronically
Take pride in your work, have the desire to complete projects and enjoy variety in your tasks
Open-minded and hands-on team player willing to apply your skills and expertise as required; give, receive and encourage feedback to and from others
Integrity and intellectual honesty
Requirements:
Minimum of 5 years experience in data analysis.
Degree from a top tier university or other qualifying experience
Proven experience of combining and leveraging multiple datasets
Strong data analysis skills and experience with Python, Pandas, SQL and source control
Useful Experience:
Use of cloud computing platforms such as AWS or Azure
Skilled in the area of customised data visualization and exploration tooling
