[Remote] Security Operations Analyst 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

0-2 years of experience in information security
2+ years in IT operations, or a related technical discipline
Familiarity with core security concepts: network protocols, operating systems (Linux/Windows), authentication, and common attack techniques
Exposure to SIEM, EDR, or log analysis platforms (e.g., Splunk, Wazuh, ELK, SentinelOne, CrowdStrike, or similar)
Ability to think critically and systematically when troubleshooting alerts or anomalies
Strong written and verbal communication skills, with the ability to document findings clearly
Eagerness to learn, collaborate, and grow in a fast-paced environment
Associate's or Bachelor's degree in Computer Science, Information Security, or related field

Responsibilities

Monitor alerts and events across SIEM, EDR, and DLP platforms, triaging and escalating as needed
Investigate suspicious activity, support incident response, and help maintain playbooks and response procedures
Perform log analysis, detection tuning, and support forensic reviews under senior guidance
Assist in documenting incidents, tracking remediation efforts, and contributing to post-incident reviews
Provide support for security awareness initiatives and help foster a strong security culture across the firm
Collaborate with Security Operations Engineers and senior analysts to improve monitoring coverage and SOC effectiveness
Participate in on-call rotation (with mentoring and escalation paths) to ensure 24/7 coverage
Support threat hunting activities and contribute to proactive detection improvements when opportunities arise

Skills

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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