Voleon | www.Voleon.com | Berkeley, CA | Senior Machine Learning Researcher - Quantitative Hedge Fund
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 Charles@Voleon.com
Voleon | www.Voleon.com | Berkeley, CA | Senior Machine Learning Software Engineer - Quantitative Hedge Fund
The Voleon Group is a technology-driven investment firm employing cutting-edge statistical machine learning techniques. We are looking for an exceptionally capable software engineer. You will architect & implement new production trading systems, machine learning infrastructure, data integration pipelines, and large-scale storage systems.
We seek candidates with a proven track record of writing correct, well-designed software, solving hard problems, and delivering complex projects on time. You should preferably have experience designing and implementing fault-tolerant distributed systems. Experience with building large-scale data infrastructure, stream processing systems, or latency-sensitive programs is a bonus.
Required experience: - Go/C/C++/Python in a Linux environment with a focus on performance, concurrency, and correctness. - TCP/IP networking, multi-threading, and server development. - Common Internet protocols (IP, TCP/UDP, SSL/TLS, HTTP, SNMP, etc.). - architecting and designing highly available systems. - architecting and designing large-scale data management infrastructure. - Large codebases and building modular, manageable code.
Preferred experience.: - Debugging/performance profiling, use of tools (strace, valgrind, gdb, tcpdump, etc.) - Build and test automation tools. - work with well-defined change management processes. - diagnosing RDBMS performance problems, exploiting indexing, using EXPLAIN PLAN, optimizing at the code layer, etc. - working with messaging queues (RabbitMQ, Redis, etc.) as well as distributed caching systems.
Interest finance is essential, but experience in finance is not a primary hiring factor. Benefits and compensation are highly competitive. We can be very flexible for the right person.
Email CV/request for more info to Charles@Voleon.com.
Voleon | www.Voleon.com | Berkeley, CA | Senior Machine Learning Researcher - Quantitative Hedge Fund
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 Charles@Voleon.com
Voleon | www.Voleon.com | Berkeley, CA | Senior Machine Learning Software Engineer - Quantitative Hedge Fund
The Voleon Group is a technology-driven investment firm employing cutting-edge statistical machine learning techniques. We are looking for an exceptionally capable software engineer. You will architect & implement new production trading systems, machine learning infrastructure, data integration pipelines, and large-scale storage systems.
We seek candidates with a proven track record of writing correct, well-designed software, solving hard problems, and delivering complex projects on time. You should preferably have experience designing and implementing fault-tolerant distributed systems. Experience with building large-scale data infrastructure, stream processing systems, or latency-sensitive programs is a bonus.
Required experience: - Go/C/C++/Python in a Linux environment with a focus on performance, concurrency, and correctness. - TCP/IP networking, multi-threading, and server development. - Common Internet protocols (IP, TCP/UDP, SSL/TLS, HTTP, SNMP, etc.). - architecting and designing highly available systems. - architecting and designing large-scale data management infrastructure. - Large codebases and building modular, manageable code.
Preferred experience.: - Debugging/performance profiling, use of tools (strace, valgrind, gdb, tcpdump, etc.) - Build and test automation tools. - work with well-defined change management processes. - diagnosing RDBMS performance problems, exploiting indexing, using EXPLAIN PLAN, optimizing at the code layer, etc. - working with messaging queues (RabbitMQ, Redis, etc.) as well as distributed caching systems.
Interest finance is essential, but experience in finance is not a primary hiring factor. Benefits and compensation are highly competitive. We can be very flexible for the right person.
Email CV/request for more info to Charles@Voleon.com.
Voleon Capital Management - Berkeley, CA - visa, full time
Voleon is hiring for several positions, job descriptions below. Interested applicants are encouraged to send a cover letter and CV to working@voleon.com. Please indicate the positions you are interested in within your email.
* Member of Research Staff
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.
Our team includes a Berkeley statistics professor and PhD's from top-tier schools. You will have a high impact, and you can expect frequent interaction with other researchers, officers, and the founders. We take a rigorous approach to building trading systems, and we actively foster a collegial, intellectual environment.
We are successful and growing. Willingness to take initiative, and a gritty determination to productize, are essential.
Our offices are in downtown Berkeley, a few minutes' walk from campus and BART.
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.
* Systems Software Engineer
Technology-driven investment firm employing cutting-edge machine learning techniques seeks an exceptionally capable software engineer. You will architect and implement new production trading systems, machine learning infrastructure, data integration pipelines, and large-scale storage systems.
The firm researches and deploys machine learning and statistical trading strategies that are designed to generate attractive returns without being dependent on the performance of the overall market. Join a team of under 30 people that includes a professor at a premier university as well as over ten PhDs and two MBAs from top schools, led by the founder and CEO of a successful Internet infrastructure technology firm. The firm’s offices are within walking distance from BART and from the UC Berkeley campus in downtown Berkeley, California. We have a casual and collegial office environment, weekly catered lunches, and offer competitive benefits packages.
We seek candidates with a proven track record of writing correct, well-designed software, solving hard problems, and delivering complex projects on time. You should preferably have experience designing and implementing fault-tolerant distributed systems. Experience with building large-scale data infrastructure, stream processing systems, or latency-sensitive programs is a bonus.
We are growing rapidly. Willingness to take initiative and a gritty determination to productize are essential.
Qualifications:
+ 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.
Useful Skills:
+ 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.
* Software Engineer, Data
Fast-growing science- and technology-driven company seeks a Software Engineer for data and operations. You will work with the RnD, Software, Infrastructure and Trading teams to develop, test, deploy, and manage research and production software.
The firm researches and deploys machine learning and statistical trading strategies that are designed to generate attractive returns without being dependent on the performance of the overall market. Join a team of under 30 people that includes a professor at a premier university as well as over ten PhDs and two MBAs from top schools, led by the founder and CEO of a successful Internet infrastructure technology firm. The firm’s offices are within walking distance from BART and from the UC Berkeley campus in downtown Berkeley, California. We have a casual and collegial office environment, weekly catered lunches, and offer competitive benefits packages.
Focus areas include creating software infrastructure for our research department and production trading systems, as well as supporting the next generation of our compute and storage hardware systems. We seek a candidate who can bring both development and operations skills to rework existing software infrastructure and guide testing/automation of new and ongoing deployments.
Qualifications:
+ 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
Additional Skills (Not Required):
+ Knowledge of distributed systems, cluster computing, and fault tolerance
+ Industrial experience as a software engineer
+ Experience working in a technology-focused startup
Voleon Capital - Berkeley, CA - VISA - Full-Time Roles: (a) backend software engineers (b) software engineer - data infrastructure.
The firm researches and deploys machine learning and statistical trading strategies that are designed to generate attractive returns without being dependent on the performance of the overall market. Join a team of under 30 people that includes a professor at a premier university as well as over ten PhDs and two MBAs from top schools, led by the founder and CEO of a successful Internet infrastructure technology firm. The firm’s offices are within walking distance from BART and from the UC Berkeley campus in downtown Berkeley, California. We have a casual and collegial office environment, weekly catered lunches, and offer competitive benefits packages.
BACKEND SOFTWARE ENGINEER
Technology-driven investment firm employing cutting-edge machine learning techniques seeks an exceptionally capable software engineer. You will architect and implement new production trading systems, machine learning infrastructure, data integration pipelines, and large-scale storage systems.
We seek candidates with a proven track record of writing correct, well-designed software, solving hard problems, and delivering complex projects on time. You should preferably have experience designing and implementing fault-tolerant distributed systems. Experience with building large-scale data infrastructure, stream processing systems, or latency-sensitive programs is a bonus.
We are growing rapidly. Willingness to take initiative and a gritty determination to productize are essential.
Qualifications:
• 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.
Useful Skills:
• 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.
SOFTWARE ENGINEER, DATA INFRASTRUCTURE
Fast-growing science- and technology-driven company seeks a Senior Deployment/DevOps Engineer. You will work with the RnD, Software, Infrastructure and Trading teams to develop, test, deploy, and manage research, operational and production software.
Focus areas for the position include creating software infrastructure for our research department and production trading systems, implementing and automating back office and reporting systems, as well as supporting the next generation of our compute and storage hardware systems. We seek a candidate who can bring both development and operations skills to rework existing software infrastructure and guide testing/automation of new and ongoing deployments.
Qualifications:
• Experience writing Python code in a Unix environment
• Experience working with mission critical RDBMS, performance and fault tolerance.
• Industry experience as a software engineer
• Automated deployment and virtualization (Ansible, KVM, Jenkins, etc.)
• Experience with debugging and performance profiling, including the use of tools such as strace, valgrind, gdb, tcpdump, etc.
Useful Skills:
• Monitoring and network management (Nagios, Logstash, Graphite, Cacti, etc.)
• Knowledge of distributed systems, cluster computing, and fault tolerance
• Experience making commits on open-source technology
• Familiarity with cluster management and job queuing systems (Chronos, Luigi, Oracle grid engine, Mesos, etc.)
• Experience in operations for highly available services
To Apply: Send a cover letter and resume to working@voleon.com; reference the name of the position you are applying for.
Fast-growing science- and technology-driven company seeks a Senior Deployment/DevOps Engineer. You will work with the RnD, Software, Infrastructure and Trading teams to develop, test, deploy, and manage research and production software.
About Us:
We apply statistical machine learning to develop automated trading strategies and systems. Our success is dependent upon the predictive power of our models rather than speed. The team includes our research staff as well as a group of exceptional software and IT professionals who are building our next-generation software and hardware infrastructure. We have a collegial, academic working environment, rely on open source software, and have built our own software stack.
The Position:
Focus areas include creating software infrastructure for our research department and production trading systems, as well as supporting the next generation of our compute and storage hardware systems. We seek a candidate who can bring both development and operations skills to rework existing software infrastructure and guide testing/automation of new and ongoing deployments.
Qualifications:
* 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
* Track record of supporting multi-developer software projects
* Knowledge of databases and database administration
Additional Skills (Not Required):
* Knowledge of distributed systems, cluster computing, and fault tolerance
* Industrial experience as a software engineer
* Experience working in a technology-focused startup
Voleon Capital Management -- Berkeley, CA -- Full-time, on-site, H1B
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. Our CEO is a CS PhD and founded a successful internet startup, and our Head of Research/CIO is a Berkeley statistics professor; both have a background in finance. Our trading is entirely automated and based on cutting-edge machine learning techniques. We have a collegial, academic working environment, rely on open source software, and have built our own software stack. We have a track record of strong performance and have been raising money and growing fast.
Willingness to take
initiative, and a gritty determination to productize, are essential.
Our offices are in downtown Berkeley, one block from campus and one block
from BART.
We have two positions open: CTO and Member of Research Staff.
* Chief Technology Officer
We have assembled a small group of exceptional software and infrastructure professionals and seek an experienced candidate to lead and grow the team. The CTO will manage the implementation of our next generation infrastructure, including production trading systems, software infrastructure for our research department, and our compute and storage hardware systems. The CTO will work directly with the Head of Research and the CEO to set the technical direction of the company. A strong candidate will be well-versed in state-of-the-art technology (particularly distributed systems and cluster computing), and will have a track record of building and leading elite technical teams and successfully delivering complex projects (especially in a startup environment). A background in finance is not required.
* Member of Research Staff
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 take a rigorous approach to building trading systems, and we actively foster a collegial, intellectual environment.
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. Interested applicants are encouraged to send a cover letter and resume to working@voleon.com.
Voleon Capital Management - Berkeley, CA - Full time - H1B OK
We have two positions open on our software team. The first is for a CTO. We are looking for an experienced candidate to grow, manage and lead an elite software engineering team. Our ideal candidate would combine very strong technical skills with startup management experience; experience in finance is a bonus but not a must. If you are interested in more details, please contact us at working@voleon.com.
The second position is for a software developer. The description is below:
Fast-growing quantitative trading firm seeks an exceptional software developer. You will architect and implement a diverse set of core infrastructures, including new production systems, scientific-computing environments, and modern data stores.
We seek candidates with a proven track record of writing correct, well-designed software, solving hard problems and delivering complex projects on time. You should preferably have experience with high assurance, distributed, fault-tolerant systems. Experience with functional programming as well as soft real-time, low-latency, cache-friendly systems is a bonus.
We are getting big fast. Willingness to take initiative, and a gritty determination to productize, are essential.
Join a team that includes faculty at premier universities and PhD's from top-tier schools, led by the founder and CEO of a successful Internet infrastructure startup. You will have a high impact, and you can expect frequent interaction with the researchers, officers, and founders.
Benefits and compensation are highly competitive. Interested applicants are encouraged to send a cover letter and resume to working@voleon.com.
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 Charles@Voleon.com