The Voleon Group

Staff Software Engineer, Trading Platforms

Remote

$270,000 – $300,000Compensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Asset Management, Trading Platforms, AI & Machine LearningIndustries

Requirements

Candidates are required to possess a Computer Science degree or equivalent experience, along with 7+ years of software engineering experience building high-performance systems, and expertise in operating and scaling mission-critical, large-scale production systems in languages such as Python, Go, and C++. Strong communication and project management skills are also necessary, along with a track record of mentoring engineers and leading technical direction.

Responsibilities

As a Staff Software Engineer, the individual will be responsible for designing real-time distributed trading systems, building and optimizing large-scale data infrastructure and stream processing systems, owning observability and remediation tooling, integrating with new assets and markets, improving the resilience and performance of trading systems, developing tooling for data integration, leading complex projects, and collaborating across various teams to deliver end-to-end trading systems while mentoring and developing other engineers on the team.

Skills

Python
Go
C++
Airflow
beam
React
Distributed Systems
Data Infrastructure
Stream Processing
Monitoring & Remediation
Trading Systems
Data Integration

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.

Key Metrics

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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