Software Engineer - University Hire 2026 at The Voleon Group

Berkeley, California, United States

Apply Now

Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Finance, Investment Management, TechnologyIndustries

Requirements

Experience developing in a Linux environment with a focus on performance, concurrency, and correctness using languages such as Python, R, Java, Go, and C/C++
Demonstrated excellence in backend engineering via work with databases, large-scale data processing, highly available services
Demonstrated ability to design, develop, and deploy a back-end application given design specs
Excellent interpersonal and communication skills, with the ability to work effectively in cross-functional teams
Familiarity with modern deployment and build tooling, such as Kubernetes, Bazel, etc. (preferred)
Bachelor’s degree in computer science or a related technical field (Graduating class of 2026)
Authorization to work in the United States

Responsibilities

Lead and collaborate in diverse and engaging software work, which includes areas such as trading infrastructure, computing and data processing, flexible pipelines for model development, and more
Design, develop, and maintain robust software that support our trading strategies and research initiatives
Proactively engage in complex projects from start to finish, which includes gathering project requirements, translating them into a rational software design, reasoning effectively about supporting or dependent technologies, and communicating effectively with teammates
Collaborate closely with Senior Software Engineers and benefit from mentorship and coaching

Skills

Machine Learning

Software Engineering

Trading Infrastructure

Data Processing

Model Pipelines

Scalable Software

High-Performance Computing

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.

Land your dream remote job 3x faster with AI

Try Jobo Free