CAIA's Career Center is an easy-to-use, comprehensive resource connecting job seekers with employers in the growing AI field. Use your knowledge and credibility to advance your career or build a talented team for your organization. Opportunities targeted to CAIA Charterholders are prioritized.
In order to search for jobs specifically for CAIA Charterholders or those pursuing the CAIA Charter please enter “CAIA” in the search panel.
This will enable you to search for CAIA specific roles globally.
A global quantitative trading firm is seeking a DevOps Engineer to join their team in Chicago, IL. As an asset to this team, you will be responsible for building automated tools to support post-trade analysis for the US and European trading markets. Having founders with strong quantitative and technical backgrounds, you will be collaborating amongst the brightest minds in the industry and working with the latest technologies. From day one, you will be hitting the ground running with providing solutions to solve complex problems and having autonomy in your processes. If this sounds like you or someone you know, then please do not hesitate to apply!
**** This is an 8:00 PM - 1:30/2:00 AM (Sunday - Friday) Shift****
Architecting, designing, and maintaining automated tools to ensure the accuracy of post-trade data for markets on a global scale.
Collaborate with members from across the business to solve complex problems within the trading applications/platforms.
Deliver on significant operational goals by being detail orientated, communicating efficiently, and providing technical expertise.
Bachelor's Degree or Higher in CS or a relating field
Proficient with Python for programming and utilizing python for designing and implementing data structure; experience with C++ programming in a professional capacity
Proficient with SQL
Professional experience with containerization tools; Docker, Kubernetes, ECS, etc.
Preferably current or previous professional experience with financial data/trading data
Strong communication skills, ability to multitask, and prioritize critical issues