A leading global investment firm is seeking a Data Scientist to join a specialist team at the intersection of research, trading, and engineering. This group plays a critical role in leveraging data to power systematic and quantamental strategies across multiple asset classes.About the RoleYou'll work closely with quantitative researchers, traders, and engineers to transform raw data into actionable insights. The role involves designing and onboarding new datasets, building features and signals for backtesting, and proving the value of data for investment strategies. Expect to work with large-scale alternative datasets and collaborate across equities and commodities teams in a fast-paced, high-performance environment.Key ResponsibilitiesPartner with researchers and traders to design datasets that drive systematic strategies and inform discretionary decisions.Prototype and develop tools to extract, clean, and aggregate data from diverse sources and formats.Build features and signals for backtesting to validate dataset potential for alpha generation.Manage the end-to-end onboarding of new datasets, ensuring scalability and robustness.Collaborate with engineers to optimize workflows and automate data processes.Experiment with innovative data acquisition and transformation techniques to expand the firm's data capabilities.Ideal Candidate Profile3+ years of experience in data science or data engineering, ideally within quantitative finance.Advanced degree in a quantitative discipline (Mathematics, Physics, Computer Science, Engineering).Strong Python programming skills (experience with Pandas, NumPy; familiarity with Polars a plus).Proven ability to work with large-scale alternative and traditional financial datasets.Interest in financial markets and applying data to investment research.Excellent communication skills and ability to collaborate with technical and non-technical stakeholders.Comfortable working in a high-performance, fast-paced environment.If you feel this role is a good match - apply today!