At Viewpoint, we sit at the intersection of data science and timeless investment philosophies. We integrate core financial and economic principles with advanced quantitative methods to develop end-to-end systematic investment solutions.
We are looking to add to our data science function, where we develop the next generation of quant strategies. A successful Financial Data Scientist understands the chaos of financial markets through the languages of statistics, probability, and algorithmic coding. They have the drive and skills to discover the patterns and opportunities others miss.
As a member of the data science function on the research team, you will focus on developing novel techniques to extract information from financial markets and the global economy. You will integrate AI/ML techniques, empirical analysis, and statistical testing with economic theory to create unique insights.
We are cloud native and primarily use python in our financial modelling. However, we believe that talented people can learn the necessary skills to work in any environment.
WHO WE'RE LOOKING FOR
We aren’t beholden to lists. No one checks every box – if this sounds like you but you miss a few check marks, apply!
Previous experience working with financial data, stochastic systems, and/or time series analysis will be considered an asset.
OUR VALUES AND CULTURE
OUR INTERVIEW PROCESS
- 1First round interview: experience and role fit
- 2Technical Interview
- 3Final interview: chat with CEO/COO
Please submit your resume with a brief cover letter to Ben Reeves via email at firstname.lastname@example.org.