We’ll trust you to:

•  Design and implement a modular platform for researching market-moving signals and building trading strategies around those signals.
•  Design and implement a high-performance system for running distributed analytics and transformations on market data.
•  Design and implement the infrastructure to deploy, run and monitor market signals, trading strategies and data pipelines in production.
•  Take ownership of our system architecture and our software development lifecycle.
•  Help grow our team by assisting with hiring new technical talent and mentoring junior team members.

You’ll need to have:

•  Broad experience architecting and maintaining large production systems in Python.
•  Prior experience with Python’s distributed analytics, scientific computing and machine learning packages.
•  The ability to work cross-functionally with software engineers, quant researchers and product managers.
•  5+ years of experience as a software engineer, ideally including in the finance industry.
•  A Bachelor, Masters or PhD in a quantitative field, such as computer science, computer engineering or computational finance.

We’d love to see:

•  Prior buy side experience as a software engineer or quantitative developer.
•  Experience working with large financial datasets, in time series or other structures.
•  Financial domain knowledge in one or more asset classes.
•  Strong foundation of statistical and quantitative skills.