We are a small team of software engineers passionate about creating fast, lean, and robust Python code. We use Python 3, and broadly employ modern language features and libraries such as type hints, generators, decorators, functools, itertools, and collections. We leverage high-performance libraries like NumPy and Pandas, and use Flask for web apps. While we do not write much C, we understand Python at the C level. To increase code quality and knowledge transfer, we spend significant time reading and discussing each other's code. We tame large datasets filled with noise and irregularity, and develop reusable approaches to data pipelining, caching, and numerical processing. We habitually test everything we write, and practice continuous integration and continuous deployment. We develop on Linux and deploy to a fleet of VMs via Ansible and Supervisor. We take the time to refine old code, find optimal designs, and invest in building powerful, general-purpose tools, some of which we have open-sourced. As full-stack engineers, we contributing to code, test, back-end, front-end, operations, and deployment.
We are the core engineering team in Investment Management at Research Affiliates, a global leader in innovative indexing and asset allocation strategies. We build the tools that construct hundreds of different portfolios; we create and maintain an expanding network of applications for processing portfolios and financial data, from back-end reporting to front-end comparison and analysis.
We are looking for software engineers who share our interests.