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 Machine Learning Developer acts as the critical node between our research and our engineering teams. They are experts at productionizing, monitoring, and scaling our advanced quantitative models.
As a specialized member of the engineering team, you will work closely with our quantitative researchers, data scientists, and software engineers. Your primary responsibility will be improving and productionizing our models. Your secondary responsibility will be to contribute to and support the data science research team.
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 or time series data 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 email@example.com.