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Hedge Fund Cloud Engineer Jobs (NOW HIRING)

Career Launch AI

Hedge Fund Analyst

Manhattan, NY

$150K - $200K/yr

Hedge Fund Analyst (Entry-Level) - Career Launch AI Talent Network Location: New York, NY or ... Bachelor's degree in Finance, Economics, Math, Engineering, Computer Science, or related discipline.

Umbrex

Hedge Fund Quant Analyst - Umbrex

Manhattan, NY · On-site

$100 - $125/hr

They are seeking a Hedge Fund Quant Analyst with deep expertise in equity trading, advanced modeling techniques, and programming to help design and implement this system. Responsibilities: * Design ...

Radley James Limited

Senior Security Engineer

Manhattan, NY · On-site

$126K - $173K/yr

Senior Security Engineer - New York (Hedge Fund) Our hedge fund client is seeking an experienced ... Monitor SIEM and cloud environments for potential security incidents and enhance Splunk alerts ...

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Hedge Fund Cloud Engineer information

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How much do hedge fund cloud engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for hedge fund cloud engineer in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

What is a hedge fund cloud engineer?

Hedge Fund Cloud Engineers are IT professionals who design, implement, and manage cloud-based systems and infrastructure specifically for hedge funds. They ensure secure, scalable, and high-performance environments for trading platforms, data analytics, and compliance systems. These engineers work closely with portfolio managers, analysts, and other IT staff to optimize cloud resources and integrate financial applications. Their responsibilities may also include automating processes, monitoring cloud security, and staying updated on the latest cloud technologies relevant to finance.

What are the key skills and qualifications needed to thrive as a hedge fund cloud engineer?

To thrive as a Hedge Fund Cloud Engineer, you need strong expertise in cloud computing architectures, scripting or programming (e.g., Python, Bash), and in-depth knowledge of networking and security, often backed by a bachelor's degree in computer science or a related field. Familiarity with platforms like AWS, Azure, or Google Cloud, as well as relevant certifications (such as AWS Certified Solutions Architect), and experience with cloud automation tools like Terraform or Ansible, are typically required. Strong problem-solving, attention to detail, and the ability to communicate technical concepts clearly are standout soft skills in this role. These competencies are crucial to ensuring reliable, scalable, and secure systems that support the high-performance and compliance needs of hedge fund operations.

How does a hedge fund cloud engineer typically collaborate with portfolio managers and quantitative analysts?

As a Hedge Fund Cloud Engineer, you’ll frequently work alongside portfolio managers and quantitative analysts to ensure that cloud-based data pipelines, analytics platforms, and trading systems run efficiently and securely. You may be responsible for optimizing cloud infrastructure to support high-speed data analysis and backtesting, integrating new data sources, and troubleshooting system performance issues. Effective communication skills are essential, as you’ll need to translate technical solutions into business value and adapt systems to evolving investment strategies. Collaboration is often fast-paced, requiring flexibility and a proactive approach to problem-solving.

What is the difference between Hedge Fund Cloud Engineer vs Quantitative Analyst?

AspectHedge Fund Cloud EngineerQuantitative Analyst
Required CredentialsBachelor's in Computer Science, certifications in cloud platforms (AWS, Azure)Bachelor's or Master's in Mathematics, Statistics, or Finance
Work EnvironmentFinancial firms, hedge funds, tech teams supporting trading infrastructureResearch firms, hedge funds, financial institutions analyzing data and developing models
Employer & Industry UsagePrimarily in hedge funds and financial services leveraging cloud techAcross finance, investment firms, and hedge funds focusing on data analysis

The Hedge Fund Cloud Engineer focuses on building and maintaining cloud infrastructure for hedge funds, ensuring scalable and secure data systems. In contrast, a Quantitative Analyst develops mathematical models to inform trading strategies. Both roles require strong analytical skills but differ in technical focus and daily tasks.

What are popular job titles related to Hedge Fund Cloud Engineer jobs?

For Hedge Fund Cloud Engineer jobs, the most frequently searched job titles are:

Infographic showing various Hedge Fund Cloud Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

Global Head of Hedge Fund Partnerships & Strategy

Manhattan, NY • On-site

VAST Data
Software Development • 201 - 500 employees
Learn more about VAST Dataexternal

Full-time

Re-posted 10 days ago

Job description


VAST Data is seeking a Global Head of Hedge Fund Strategy & Partnerships to build and lead our hedge fund practice worldwide. This is a unique opportunity for a highly connected industry leader who understands the hedge fund ecosystem and has deep relationships across quantitative funds, multi-strategy platforms, systematic trading firms, discretionary funds, and the broader financial technology landscape.


This role is not a direct sales position. Instead, you will serve as the strategic bridge between the hedge fund industry and VAST's product, engineering, field, and executive leadership teams.


You will be responsible for creating VAST's hedge fund strategy from the ground up—developing executive relationships, identifying market opportunities, influencing product direction, establishing industry credibility, enabling field teams, and building the foundation for a future team and practice.


The Role



Build the Hedge Fund Practice

  • Define and execute VAST's global hedge fund strategy
  • Establish VAST as a trusted infrastructure and AI platform partner within the hedge fund community
  • Develop a long-term roadmap for expanding VAST's presence across the world's leading hedge funds
  • Build the foundation for a future team focused on financial services and hedge fund engagement


Develop Executive Relationships

  • Build and maintain senior relationships with CIOs, CTOs, Heads of Infrastructure, Quantitative Research leaders, Data Platform leaders, and Engineering executives across the hedge fund ecosystem
  • Create introductions and strategic engagement opportunities between hedge fund leaders and VAST executives
  • Serve as a trusted advisor to both customers and internal stakeholders


Drive Market Intelligence & Strategy

  • Identify emerging trends, workload requirements, benchmarking needs, and technology priorities across the hedge fund industry
  • Translate customer insights into actionable recommendations for Product Management, Engineering, and Executive Leadership
  • Help define the capabilities, integrations, and performance benchmarks required to accelerate adoption within hedge funds


Enable Internal Teams

  • Educate VAST sales, solutions engineering, product, and executive teams on hedge fund market dynamics
  • Develop industry-specific messaging, plays, competitive positioning, and engagement strategies
  • Partner with field teams to accelerate opportunities and expand existing hedge fund relationships


Create Industry Presence

  • Build and execute a hedge fund-focused events and engagement strategy
  • Represent VAST at industry conferences, executive forums, customer roundtables, and private networking events
  • Develop strategic relationships with influential industry participants, partners, consultants, and advisors

Requirements:


  • 10+ years of experience working with or selling into hedge funds, quantitative trading firms, asset managers, or financial services organizations
  • Deep network of executive relationships across the hedge fund ecosystem
  • Proven ability to build strategic programs, partnerships, or industry practices from the ground up
  • Strong understanding of data infrastructure, AI infrastructure, HPC, quantitative research environments, or large-scale analytics platforms
  • Experience influencing product strategy and working cross-functionally with engineering and product organizations
  • Exceptional executive communication and relationship-building skills
  • Ability to operate independently while influencing senior stakeholders across a rapidly growing organization

Preferred Experience

  • Former hedge fund technology, infrastructure, engineering, data platform, or quantitative research leader
  • Experience in strategic alliances, industry partnerships, business development, or market development roles
  • Prior experience with AI infrastructure, high-performance computing, large-scale storage, data platforms, or cloud infrastructure
  • Experience building and scaling industry-specific practices or centers of excellence