Data Scientist (Commodities) | Top Systematic Fund
A leading global investment firm specialising in quantitative and systematic strategies is seeking a talented Data Scientist (with good data engineering skills) to join a high-impact team at the intersection of research, trading, and engineering. The firm operates across all major liquid asset classes and is driven by a scientific, data-first approach to investing. With a strong culture of innovation and collaboration, the team continuously explores new ways to harness data for alpha generation.
About the Role
This is a unique opportunity to work in a cross-functional environment where data is central to investment decision-making. You'll be part of a specialist group that partners closely with trading and research teams to ensure data is efficiently sourced, transformed, and deployed across the investment process.
Key Responsibilities
- Collaborate with trading and research teams to design and implement robust data pipelines tailored to investment strategies.
- Work with data engineers to onboard and integrate new datasets, ensuring they are production-ready and aligned with business needs.
- Develop and prototype tools to extract, clean, and aggregate data from diverse sources and formats.
- Lead the end-to-end onboarding of new datasets, from discovery through to deployment.
- Continuously improve data workflows by identifying bottlenecks and implementing scalable solutions.
- Experiment with novel data acquisition and transformation techniques to expand the firm's data capabilities.
Ideal Candidate Profile
- 3+ years of experience in a data science or data engineering role, ideally within a quantitative or financial setting.
- Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Physics, Computer Science, or Engineering.
- Strong Python programming skills, particularly with data-centric libraries like Pandas and NumPy.
- Demonstrated interest in financial markets and the application of data to investment research.
- Experience working with both traditional and alternative financial datasets.
- Excellent communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.
- Comfortable working in a fast-paced, high-performance environment.
If you feel the above fits with your expeirence and are ready to join a fast paced and high performing fund, apply today!
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