[Remote] Senior/Staff Software Engineer, Data at The Voleon Group

Berkeley, California, United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

Computer Science / Engineering bachelor’s degree (or equivalent)
5+ years of relevant software engineering experience
Proven track record of software design and implementation with focus on correctness, robustness, efficiency, and scale
Experience working with large codebases and building modular, extensible, and maintainable software
Expertise in a modern programming language, such as Python, Go, Java or C++
Hands-on experience developing in a Linux/UNIX environment
Design and implementation of scalable services and APIs, highly-available systems, and/or large-scale data infrastructure
Experience with data storage and management technologies (e.g. PostgreSQL, Cassandra, HDFS)

Responsibilities

Engage and collaborate in diverse software development work, including design and implementation of distributed systems and services, maintenance and deployment of production workflows, development of tools and libraries, and more
Support our trading operations and promote our research effort through reliable delivery of high-quality and easily accessible data
Build scalable data infrastructure, robust storage and distribution systems, and fault-tolerant production-critical pipelines
Lead complex projects from start to finish, including gathering requirements, creating a robust software design, reasoning about supporting or dependent technologies, and communicating effectively with stakeholders, collaborators, and teammates
Provide technical guidance to engineering and research staff
Provide mentorship and support to help grow other team members and up-level the team

The Voleon Group

Investment management using machine learning algorithms

About The Voleon Group

Voleon focuses on investment management by utilizing machine learning to analyze financial market trends. The firm uses advanced statistical models to process large datasets and identify patterns that inform investment decisions, setting it apart from traditional methods that rely on human intuition. Voleon serves institutional clients and operates on a performance-based fee structure, aligning its interests with those of its clients. The company's goal is to provide data-driven insights that optimize investment returns while adapting to changing market conditions.

Berkeley, CaliforniaHeadquarters

2007Year Founded

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Paid Vacation

Paid Sick Leave

401(k) Retirement Plan

401(k) Company Match

Risks

Competition from other quantitative hedge funds may erode Voleon's market share.

Regulatory scrutiny on AI use in finance could increase compliance costs for Voleon.

Data quality issues could lead to inaccurate predictions and financial losses for Voleon.

Differentiation

Voleon uses machine learning for data-driven financial market predictions.

The firm serves institutional clients with a focus on scalability and risk management.

Voleon's academic approach emphasizes intellectual rigor and continuous learning.

Upsides

Increased interest in ESG investing offers new opportunities for Voleon's models.

Alternative data sources enhance predictive models for quantitative hedge funds like Voleon.

Cloud computing enables efficient scaling of Voleon's data processing capabilities.

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