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Internship Data Scientist Hedge Fund Jobs (NOW HIRING)

SS&C

Manager, Hedge Fund Accounting

New York, NY · Hybrid

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 ...

SS&C

Manager, Hedge Fund Accounting

Walnut Creek, CA · Hybrid

Our teams design, implement, andoperatesolutions that help clients manage data, automate processes ... Hedge Fund, Investment Advisor or Audit firm * Strong knowledge of US GAAP and corporate actions

SS&C

Manager, Hedge Fund Accounting

Bellevue, WA · Hybrid

Our teams design, implement, andoperatesolutions that help clients manage data, automate processes ... Hedge Fund, Investment Advisor or Audit firm * Strong knowledge of US GAAP and corporate actions

SS&C

Manager, Hedge Fund Accounting

San Francisco, CA · Hybrid

Our teams design, implement, andoperatesolutions that help clients manage data, automate processes ... Hedge Fund, Investment Advisor or Audit firm * Strong knowledge of US GAAP and corporate actions

Northern Trust

Hedge Fund Risk Manager

Chicago, IL · On-site

$80K - $133K/yr

Conduct quantitative-focused due diligence on hedge fund managers * Assess manager performance ... Ability to interpret limited transparency data * Excellent communication and stakeholder management

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

As of Aug 29, 2026, the average yearly pay for internship 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.
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Infographic showing various Internship Data Scientist Hedge Fund job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Global Head of Hedge Fund Partnerships & Strategy

VAST Data

Manhattan, NY • On-site

Full-time

Re-posted 26 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