Percipio Capital Management, LLC

 

Careers

At Percipio, you’ll be working with accomplished people trained in a variety of disciplines in a collegial, casual environment.  Percipio team members enjoy a creative atmosphere that capitalizes on this cross-disciplinary focus.  Dress code is out, creativity is in.  Our scientists find that the financial markets provide one of the more interesting and challenging problem areas for Machine Learning.  Our capital market professionals enjoy leveraging their real-world expertise with cutting edge technology positioned at the frontier of Moore’s law.  Everyone enjoys an open culture that works together and rewards on merit.

New Percipio team members will find themselves immediately involved in high profile projects with tremendous responsibility and room for growth.  If you believe you can contribute, please submit your resume to mbox1@percipiocapital.com


Technical Jobs

AI / Machine Learning Developer

We are currently looking for people with a strong background in statistical AI and machine learning, with the desire to apply these technologies to real-world problems. Machine learning techniques of interest include bagging and boosting, support vector machines, neural networks, and Bayesian networks, as well as evolutionary techniques like learning classifier systems. Statistical areas of interest include bootstrap techniques, model selection techniques, multiple comparison procedures, and generalization theory. The ideal candidate will have a strong background in statistical theory. Experience with object-oriented design and programming in C++ is desirable, as well as experience with S-Plus (or R), Matlab, and Mathematica. Experience in the financial services sector is also a plus.

Software Engineer

Appicants should be skilled programmers with significant experience in object-oriented programming using C++ and the STL, with the ability to architect and deploy new systems. Familiarity with AI and Machine Learning techniques is highly desirable, as is experience with R or S-Plus, Python, and SQL. Experience in the financial services sector, with time series data, and with distributed systems using MPI and Linux Clusters are all plusses.  A minimum of a BS in computer science is required.

Database Developer and Data Modeler

Candidate will be responsible for integrating new data feeds into our databases and for working with our quantitative analysts to process this data into new indicators and trading systems.

Applicants must have a strong background in relational data modeling and be fluent in SQL. Experience with R, S-Plus, Matlab or another vector-oriented language is also required, as is experience with scripting languages such as Python, Perl, or Ruby. Experience with financial data and time series modeling is desirable. The ideal candidate will also be proficient with C++.



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