Data Scientist

What will you be doing ?

- Understand and apply your understanding of selection bias in alternative data sets

- Apply ML methods tactically, improving research deliverables without slowing down the research process

- Ideate and execute novel methods for longer term projects (typically a few months) with high novelty and potential impact on financial research

What we're looking for:

- Strong data analysis and ML skills

- A basic understanding of data pipelining and automation, with experience using PySpark on large data sets (over 1B data points) and SQL for data extraction.

- Strong understanding of the application of statistics to research design

- Strong communication skills, especially if evidenced by past writing (e.g. blog posts, articles, etc.)

Skills that will help you in the role:

- Strong skills with causal and statistical inference, including observational causal designs

- Past experience with large scale text analysis or geolocation data analysis

- Experience in quantitative finance