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About the Company
We are working with one of the UK's leading investment management companies, managing billions in assets and serving individual and institutional investors globally. They are known for their commitment to innovation, active management, and fostering a collaborative work environment.
The Role
- Identify alpha signals from alternative data sources not captured by traditional market data.
- Build and maintain predictive models using various data sources.
- Develop and scale reproducible data science processes and tools using Python and SQL.
- Conduct research initiatives to identify novel approaches to existing data processes.
- Collaborate with investment professionals to develop hypotheses and deliver data-driven solutions.
- Communicate complex findings clearly to less technical stakeholders through compelling visuals and narratives.
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What You'll Need
- At least three years of relevant experience in data science.
- Strong background in statistics and/or machine learning.
- Highly proficient in Python (pandas, NumPy, SciPy, matplotlib/seaborn) and SQL for data manipulation and analysis.
- Demonstrated interest in financial markets and fundamental investing.
- Experience with cloud-based data tools (ideally Azure) and familiarity with large language models (LLMs).
- Excellent communication skills and ability to engage confidently with diverse stakeholders.
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What's On Offer
- Opportunity to work in a dynamic environment that values curiosity and practical impact.
- Hybrid working arrangement for flexibility and work/life balance.
- A collaborative culture focused on continuous learning and professional development.
- Exposure to cutting-edge data science applications in financial markets.
Apply via Haystack today!
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