Senior Software Engineer

We love working with technology that is changing the way quantitative analytics is being done in the world. We believe in providing users access to Morningstar’s data via tools and programming languages that are already loved and used by the data science community. Our vision is to “stand on the shoulders of giants” and use many of the open-source data analytics technologies to build our platform. You will dive deep into open-source software projects and learn how they are used in financial engineering.We are deeply inquisitive; we do not take “that’s just the way it’s always been done” or “that’s just best practice” as valid answers and instead seek to fine-tune our product development process for maximum impact. We are empowered professionals who are given problems to solve and not tickets to implement. We value team productivity over individual productivity and this culture of “giving” means we enjoy and highly value collaborating with our teammates.Job Responsibilities:In this role, you will be a Senior Software Engineer in a cross-functional squad that’s building out Analytics Lab. This squad will be largely in North America. As part of the team, you will also work closely with the quantitative analysts (aka data scientists), product managers, and software engineers to help shape the product and content. You will be exposed to all aspects of product development: design of user experience, system architecture, model development, productionizing models, API/library/CLI development, data visualization tools, code reviews, automated testing, infrastructure as code, systems monitoring & reliability, and support.This position is based in our Toronto office. We follow a hybrid policy of 3 days onsite and 2 days remote work.Qualifications:Friendly and enjoys working in a collaborative team with excellent spoken and written communication skills.Humble, honest, and to the point.Experience with at least one programming language.Solid understanding of computer science fundamentals: data structures, algorithms, design patterns.Honestly, these are here to give you a sense of what tools we work with. We really mean these to be “Nice to Haves: #J-18808-Ljbffr