The Voleon Group

Senior Cloud Security Engineer

Remote

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Technology, AI & Machine LearningIndustries

Requirements

Candidates should possess 7+ years of increasing responsibility and scope in a technical role, at least two years of experience with Linux infrastructure, at least four years of experience in securing cloud workloads (AWS, GCP, Azure), experience integrating security into the software development lifecycle, including techniques like SAST in CI, container image scanning, and secure deployment practices, experience programming in Python, Go, C, or C++, strong experience with IAC and IT automation tools (Terraform, Ansible), knowledge of the threat landscape, particularly intellectual property attacks, insider threats, and understanding of the tools and tactics utilized by threat actors, and the ability to substantiate and communicate concisely to diverse audiences at varying levels.

Responsibilities

The Senior Cloud Security Engineer will contribute to building a world-class, secure cloud infrastructure that protects intellectual property, perform security risk and architecture reviews for cloud infrastructure and services, collaborate with security leadership, research, and engineering to secure cloud trading systems and computational workloads, proactively identify, troubleshoot, and mitigate host, network, and design vulnerabilities, provide metrics for reporting, develop and embed security controls early in the software development lifecycle, serve as a subject matter expert and driver of security culture.

Skills

AWS
GCP
Azure
Python
Go
C
C++
Linux
SAST
CI
Container Security
Infrastructure as Code
Threat Landscape
Network Security
Host Protection

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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