+ Background in modern statistical methods / machine learning
+ Evidence of strong mathematical abilities, e.g. publication record, graduate coursework, or competition placement
+ Substantial programming experience and interest in software development techniques
+ Competence in solving large-scale computing problems
+ Track record as an applied researcher
+ Demonstrable clarity of thought (not optional)
+ Experience developing with C/C++/Python/Go in a Linux environment with a focus on performance, concurrency, and correctness.
+ Experience working in TCP/IP networking, multithreading and server development.
+ Experience working with common Internet protocols (IP, TCP/UDP, SSL/TLS, HTTP, SNMP, etc.)
+ Experience architecting and designing highly-available critical systems.
+ Experience architecting and designing large-scale data management infrastructure.
+ Experience working in large codebases and building modular, manageable code.
+ Experience with debugging and performance profiling, including the use of tools such as strace, valgrind, gdb, tcpdump, etc.
+ Experience with build and test automation tools.
+ Experience working with well-defined change management processes.
+ Has experience hunting down RDBMS performance problems, understands indexing options, can read an execution/explain plan, has some experience with ORM and optimization at the code layer, etc.
+ Experience with messaging queues (such as RabbitMQ and Redis), as well as distributed caching systems.
+ Experience with Unix-like OSes and open-source technologies
+ Proficiency in at least one programming language
+ Experience leading the deployment and maintenance of critical software systems
+ Experience in operations for highly available services
+ Experience designing and implementing processes for continuous integration
+ Experience with configuration management and IT automation
+ Knowledge of databases and database administration
+ Knowledge of distributed systems, cluster computing, and fault tolerance
+ Industrial experience as a software engineer
+ Experience working in a technology-focused startup
The Voleon Group is a technology-driven investment firm employing cutting-edge statistical machine learning techniques. We are looking for an exceptional researcher.
We are a science-driven systematic trading firm, built on the principle that statistical machine learning provides the best solutions to the scientific problems we must solve.
We are looking for a PhD-level scientist to join us in developing predictive models and other components of automated trading systems. You will apply modern statistical machine-learning methods to large, high-dimensional data sets. The work will range from data preparation to model development to production software implementation.
We are successful and growing. Willingness to take initiative, and a gritty determination to productize, are essential.
We hire on the basis of exceptional talent. If you excel in a technical field such as statistics, mathematics, computer science, engineering, or operations research, then we encourage you to contact us.
The following criteria, while not all requirements, illustrate the demands of this role: + Background in modern statistical methods / machine learning
+ Evidence of strong mathematical abilities, e.g. publication record, graduate coursework, or competition placement
+ Substantial programming experience and interest in software development techniques
+ Competence in solving large-scale computing problems
+ Track record as an applied researcher
+ Demonstrable clarity of thought (not optional)
Interest in financial applications is essential, but experience in finance is not a primary factor in our hiring.
Benefits and compensation are highly competitive.
The above job description is just a starting point in terms of possible duties and seniority. We can be very flexible for the right person.
Email CV/request for more info to [email protected]