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

• At least 2 years of relevant financial research experience • 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.