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.
Join a leading investment manager as a founding member of a small remote trading team. My client is looking to hire a highly numerical Quantitative Developer/Data Engineer to support a high performing PM in a fully remote capacity, though based on the East Coast to ensure synchronisation of time zones. You should have experience working with large quantities of data (both structured and unstructured), including building data pipelines, exceptional python coding skills, and either experience or a demonstrable interest in the world of finance.
Over time, for the right candidate, there is potential for this role to become more research orientated.
As well as a strong base salary, compensation for this role includes a highly competitive and wholly meritocratic bonus
Work closely with the PM –
Supporting them with their data needs and undertaking ad hoc research into data related issues.
Design and implementation of production software to collect, normalise and clean vast quantities of disparate data used for both trading strategy research and real-time automated decision making.
Design and maintenance of databases containing a variety of data (prices as well as fundamental information) on a large universe of financial instruments.
Developing tools to analyse and compare data from multiple sources. Make recommendations regarding sources of data.
Develop tools to source and process non-standardised information that may be of interest to research.
Develop enhancements to a library of analytical tools for manipulating financial data.
Bachelor's or Master's degree in Computer Science or related discipline from a leading University
Strong python coding skills are essential
Experience building data pipelines and working with large quantities of structured and unstructured data
Experience of relevant big data technologies
Strong quantitative aptitude
Finance experience is not necessary (though beneficial) however you should be a keen learner with an active interest
Ability to collaborate but also work efficiently independently
Highly ambitious, desire to work hard and contribute to a successful business
If you are interested in this position, please send your CV to email@example.com or apply via eFinancial Careers.
If you would like more information, please feel free to drop me an email so we can arrange a time to speak - I'd welcome the chance to address any questions you might have.
I can also be reached via WhatsApp at +44 7875 717 285