Primal Analytics is a lean and growing team of researchers, technologists, and product managers. We create a wide range of Marketing Tech innovations through collaborations with top academics around the world and partner with major financial institutions in commercializing them. We have two main business lines: Analytics ln product design (namely innovative indexes) and performance prediction (think Moneyball meets Madmen). Partners and clients include major investment managers, derivatives exchanges, and index companies.
We are looking to add a talented machine learning engineer to help build our analytics engine. Given the very nature of the firm's focus on automation insights, there is seldom a dull routine moment, and the researcher will be called upon to produce creative and original ideas and execute them with rigor.
· Intellectual curiosity, propensity for original thought, and obsessive attention to detail
· Experience applying advanced mathematical and statistical techniques to solving complex empirical problems
· Experience programming in R, C++, or Python
· Strong working knowledge of statistics (e.g. simulations, experiment design, hypothesis testing, and time series) and probability (e.g. stochastic processes and Markov chains)
· A logical and thoughtful communication style
· Experience working in financial markets
The quantitative researcher position is full-time remote . Starting salary will be in a competitive range based on fit and experience. Successful candidates can expect compensation to grow with the company. We also offer summer internships to exceptional students.
Above all, we value enthusiasm for the subject matter and a love of learning. So if you like the idea of working in a lean and high-caliber environment on projects that will be used by some of the world's largest financial institutions, we'd love to hear from you.
