The Role: This is a highly unique opportunity for a Quantitative Researcher to join a new and rapidly growing team. In this role you will partner with a close-knit team of data scientists, data engineers, technologists and data sourcing colleagues to identify and research new sector or broad Alphas based on a deep understanding of fundamentals.

• Develop a structured and methodical research agenda combining fundamental knowledge, data exploration and quantitative analysis.
• Become a domain expert on each fundamental topic you cover, identify key information drivers to target your research.
• Conduct detailed data exploration to acquire a comprehensive understanding of the data used to generate Alphas; enrich a wide range of structured and unstructured data into datasets to enable your quantitative research.
• Take a process orientated approach to understand the value drivers of your Alphas.

What You’ll Bring:

• At least 2 years’ experience as a Data Scientist, ideally in a financial / investment setting.
• Proven experience of extracting insights from large and complex datasets using SQL and Python. Experience with alternative datasets a plus.
• Demonstrable financial knowledge - passed at least Level I of the CFA program, or similar financial qualification (i.e., MBA or accountancy background). Thorough understanding about various valuation approaches and methods.
• Expertise in time series analysis and models.
• Proficient in coding in C/C++ and Python.
• Excellent communications skills (both written and oral English).
• Strong analytical and conceptual skills encompassing finance and related areas of financial investment.
• Familiarity with various research/database platforms (Bloomberg, Reuters etc.) would be preferred.

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