COMPANY

Kitsilano develops systematic, quantitative financial models.

We are focused on a new area in systematic trading that combines the best technology with the smartest quant models. Our models use a variety of sources to build signals that provide a unique view of the market. Using domain knowledge, we have customized machine learning and statistics algorithms to predict short-term risk-adjusted returns.

CAREERS

Careers with Kitsilano

In general we work with computer scientists, physicists, mathematicians, statisticians, machine learning experts and data scientists. All our colleagues are hands on people, who are happy to control their work from idea inception, through research to live application. In particular we are looking for candidates to fill in the following positions.

QUANTITATIVE PROGRAMMER

Our software engineers are the core drivers of our company. As a result of their intrinsic motivation to create clean, reusable and tested code, the company can always easily move to new directions. As we have experience with software engineering both at small and large financial and research organizations, we are only working with productivity oriented tools with good external support available.

Our programmers work directly with the users of their technology, where the users also have access to the source code and actively develop new tools.

The ideal candidate has experience in software engineering in a large organization or is an out-of-university talent. We are mostly working with Python / pandas and C++ on Linux.

QUANTITATIVE ANALYST

Quantitative analysts seek methods and new information sources which help to look deeper in the drivers of asset returns. They show different angles on our data, increase transparency with performance and risk attribution, or devise new trading strategies. Quant analysts often look for a novel trading signals or build and design an optimal control algorithm for better execution in the in the order book.

The ideal candidate is a hands-on person, holds a Ph.D. in a quantitative or engineering discipline like computer science, physics or maths, and has experience in analyzing data. Having Ph.D. is not a definite requirement, if you just think you are very interested in what you do, then we'd like to know you.

QUANTITATIVE PORTFOLIO MANAGER

Quantitative portfolio managers are also hands-on experts at our firm. We believe that it is impossible to achieve great results without having a thorough understanding of the whole trading process, including technical details.

Our portfolio managers are different to the rest of the firm, in that they are responsible for their portfolios and spend their time solely on understanding markets and how they could further improve performance.

Portfolio managers have past experience with trading, and often get to this position by changing the responsibilities of our quantitative analysts.