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Full Time Data Scientist Hedge Fund Jobs (NOW HIRING)

Our teams design, implement, and operate solutions that help clients manage data, automate ... S. GAAP and hedge fund accounting principles * Experience preparing and reviewing financial ...

Our teams design, implement, and operate solutions that help clients manage data, automate ... S. GAAP and hedge fund accounting principles * Experience preparing and reviewing financial ...

Our teams design, implement, and operate solutions that help clients manage data, automate ... S. GAAP and hedge fund accounting principles * Experience preparing and reviewing financial ...

Manager, Hedge Fund Accounting Locations: New York City (hybrid) About the Role Lead a high ... Our teams design, implement, and operate solutions that help clients manage data, automate ...

Our teams design, implement, and operate solutions that help clients manage data, automate ... S. GAAP and hedge fund accounting principles * Experience preparing and reviewing financial ...

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Full Time Data Scientist Hedge Fund information

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$46K

$165K

$243.5K

How much do full time data scientist hedge fund jobs pay per year?

As of Aug 20, 2026, the average yearly pay for full time data scientist hedge fund in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Scientist Hedge Fund vs Quantitative Analyst Hedge Fund?

AspectFull Time Data Scientist Hedge FundQuantitative Analyst Hedge Fund
Required CredentialsDegree in Data Science, Computer Science, or related field; programming skills; statistical knowledgeDegree in Mathematics, Finance, or related field; strong quantitative and programming skills
Work EnvironmentFocus on data analysis, machine learning, and predictive modelingFocus on financial modeling, algorithm development, and risk analysis
Employer & Industry UsageCommon in hedge funds leveraging big data and AITraditional in hedge funds with quantitative trading strategies

While both roles require strong quantitative skills and programming knowledge, a Full Time Data Scientist Hedge Fund primarily focuses on data analysis, machine learning, and predictive modeling to inform trading decisions. In contrast, a Quantitative Analyst Hedge Fund emphasizes financial modeling, algorithm development, and risk assessment. Both roles are integral to hedge fund strategies but differ in their core focus and daily tasks.

What cities are hiring for Full Time Data Scientist Hedge Fund jobs?

Cities with the most Full Time Data Scientist Hedge Fund job openings:

What are the most commonly searched types of Data Scientist Hedge Fund jobs?

The most popular types of Data Scientist Hedge Fund jobs are:

Global Head of Hedge Fund Partnerships & Strategy

VAST Data

Manhattan, NY • On-site

Full-time

Re-posted 16 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