The Voleon Group

Senior Software Engineer, Trading Platforms

Remote

Auto‑apply with AI Apply

$225,000 – $255,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Asset Management, Fintech, Trading PlatformsIndustries

Requirements

Candidates should possess a Computer Science degree or equivalent experience, along with 5+ years of software engineering experience building high-performance systems. They should have experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go, and C++, and demonstrate excellent communication and project management skills in complex technical domains. A track record of mentoring engineers and leading technical direction is also preferred.

Responsibilities

As a Senior Software Engineer, the individual will design real-time distributed trading systems, build and optimize large-scale data infrastructure and stream processing systems, own observability and remediation tooling, integrate with new assets and markets, improve the resilience and performance of trading systems, develop tooling for data integration, lead company-spanning complex projects, and collaborate across various teams to deliver end-to-end trading systems.

Skills

C++

Python

Airflow

beam

React

Distributed Systems

Data Infrastructure

Stream Processing

Trading Systems

Real-time Data

Machine Learning Pipelines

Data Integration

Performance Optimization

System Resilience

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.

Land your dream remote job 3x faster with AI

Try Jobo Free