Quantamental Data Scientist – Equity Research

You will need strong Python programming skills and will be required to perform quantitative analysis on very large, unstructured and messy data sets to extract fundamental insights that will be used by investment teams.

The portfolio managers require high quality research to prove or disprove their investment thesis, so it's important you can quickly digest data, recognize the inflection points, determine the relevance of the data and present it in an clear and concise manner.

Responsibilities

• Partner with investment teams to understand their process and key data drivers
• Analyse large, unstructured and messy alternative data sets
• Clean the data to extract key insights that support investment decisions
• Present insights to portfolio managers to prove or disprove their thesis

Required experience

• Background in buy-side or sell-side research 
• Advanced knowledge of Python, SQL and Excel
• Experience working with large, unstructured and messy alternative data sets (e.g. consumer spending, lifestyle data, geospatial data, bespoke research from unconventional sources)
• Deep analytical and quantitative skills
• Bachelors or Masters in a relevant subject such as Statistics, Mathematics, Economics, Finance