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Hourly Hedge Fund Cyber Security Jobs (NOW HIRING)

Hedge Fund

AI Infrastructure Engineer

Manhattan, NY · On-site

$150 - $230/hr

Multi-Strategy / Multi-Manager hedge fund is seeking an AI Platform Engineer to design, build, and ... Background in cybersecurity, security architecture, or penetration testing. * Experience working ...

Koitecc Solutions

Senior Security Engineer

Manhattan, NY · On-site

$140 - $210/hr

Our hedge fund client is seeking an experienced Senior Security Engineer to join their New York office. In this role, you will lead the firm's cybersecurity efforts, focusing on security monitoring ...

Allocator One GmbH

$200 - $280/hr

... with IT on cybersecurity compliance. Multi-Fund Governance * Design and oversee compliance ... hedge fund, or PE firm. * Deep knowledge of the Advisers Act, Reg D, Form ADV, and SEC examination ...

Kforce Technology Staffing

IT Manager

Manhattan, NY · On-site

$104K - $128K/yr

... hedge fund, investment banking, or asset management) * Experience working with outsourced or ... Familiarity with cybersecurity frameworks and best practices * Experience with networking ...

Next Step Systems

IT Manager

Northbrook, IL · On-site

$96K - $118K/yr

... cybersecurity monitoring. - Assess vendors and ensure service level agreements and support are met ... Hedge fund, financial services, family office experience (not a must, but preferred). Benefits ...

Turing

Remote Financial Trading Expert

Manhattan, NY · Remote

$100 - $200/hr

... at a bank, hedge fund, or prop trading firm). * Strong grasp of market dynamics, execution ... Competitive hourly compensation of ~$100+/hour depending on experience. Offer Details: * Commitment:

Graham Capital Management, L.P.

Risk Analyst

Norwalk, CT · On-site

$120K - $155K/yr

... a macro hedge fund. A successful candidate is eager to learn the key risk parameters and ... The applicable annual base salary or hourly rate paid to a successful applicant will be determined ...

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Hourly Hedge Fund Cyber Security information

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$40.5K

$122.9K

$180K

How much do hourly hedge fund cyber security jobs pay per year?

As of Aug 31, 2026, the average yearly pay for hourly hedge fund cyber security in the United States is $122,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $142,000.00 per year, depending on experience, location, and employer.

What is the difference between Hourly Hedge Fund Cyber Security vs Hourly Financial Data Analyst?

AspectHourly Hedge Fund Cyber SecurityHourly Financial Data Analyst
CertificationsCybersecurity certifications (CISSP, CEH)Financial analysis certifications (CFA, CPA)
Work EnvironmentFinancial firms, hedge funds, cybersecurity teamsFinancial institutions, investment firms, data analysis teams
Industry UsageSecurity of financial data and systemsAnalyzing financial data, market trends
Search IntentCybersecurity roles in hedge fundsFinancial data analysis roles

Hourly Hedge Fund Cyber Security focuses on protecting financial systems and data from cyber threats, requiring cybersecurity certifications and working within security teams. In contrast, Hourly Financial Data Analysts analyze financial data to inform investment decisions, often with finance-specific certifications. Both roles operate in financial environments but serve different functions—security versus data analysis.

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Hourly Hedge Fund Cyber Security jobs near you
Infographic showing various Hourly Hedge Fund Cyber Security job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $122,890 per year, or $59.1 per hour.

AI Infrastructure Engineer

Manhattan, NY • On-site

Hedge Fund
See more jobs at Hedge Fundexternal

$150 - $230/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Multi-Strategy / Multi-Manager hedge fund is seeking an AI Platform Engineer to design, build, and scale the foundational infrastructure that enables AI-driven development across the organization. This role will focus on building secure, production-grade systems that support intelligent agents, large language models (LLMs), and distributed AI tooling. The ideal candidate combines strong software engineering fundamentals with hands-on experience in AI infrastructure and Site Reliability Engineering (SRE) experience.

Responsibilities:
  • Build Intelligent Agent Platforms: Design and implement orchestration frameworks and secure execution environments that enable LLM-powered tools and agent-based workflows.
  • Architect AI Infrastructure: Develop scalable infrastructure that supports distributed agent development and deployment across multiple teams and business units.
  • Oversee AI Agent Operations: Manage agent lifecycles and ensure AI-generated outputs — including code — align with architectural standards, security policies, and engineering best practices.
  • Develop Agent Communication Systems: Build and maintain Model Context Protocol (MCP) services and supporting infrastructure to enable reliable communication, coordination, and integration with enterprise systems.
  • Implement Governance & Security Controls: Establish monitoring, observability, compliance, and security frameworks to ensure safe and responsible AI operations at scale.
  • Drive Organizational Adoption: Partner directly with teams across the firm to promote AI infrastructure best practices, provide hands-on guidance, and support adoption of AI-augmented development workflows.
Requirements:
  • 5+ years of professional software engineering experience, with a proven track record of designing and delivering scalable, production-grade systems.
  • Demonstrated experience managing Kubernetes in a production environment.
  • Expertise in building and supporting AI/ML infrastructure, agent-based systems, or AI-enhanced developer platforms.
  • Solid understanding of modern security architecture, including API security, OAuth 2.0 and Keycloak authentication flows, and secure system design principles.
Nice to haves:
  • Hands-on experience with AI agent frameworks, LLM integrations, or Model Context Protocol (MCP) implementations.
  • Experience designing multi-tenant or federated AI platforms operating across distributed environments.
  • Familiarity with enterprise AI governance, compliance frameworks, and operational risk controls.
  • Background in cybersecurity, security architecture, or penetration testing.
  • Experience working with AI-assisted development tools, automated code generation, and modern testing frameworks.
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