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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

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Data Scientist Hedge Fund information

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

As of Aug 31, 2026, the average yearly pay for 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 a data scientist hedge fund?

A Data Scientist at a hedge fund applies advanced analytics, machine learning, and statistical techniques to analyze financial data and develop predictive models. They work with large datasets to identify trading opportunities, optimize strategies, and manage risk. This role often involves collaborating with portfolio managers, quantitative researchers, and engineers to enhance investment decision-making. Strong programming skills in Python or R, expertise in data manipulation, and knowledge of financial markets are typically required.

What do data scientist hedge funds do?

Data Scientists at hedge funds often work on developing and validating predictive models for asset prices, constructing and backtesting trading strategies, and extracting actionable insights from large volumes of structured and unstructured financial data. They frequently collaborate with portfolio managers, quantitative analysts, and technology teams to align their work with the fund's investment goals. Regular responsibilities may include data preprocessing, feature engineering, signal research, and contributing to the automation of trading and risk management processes. The dynamic, team-oriented environment fosters continuous learning and provides opportunities to have a tangible impact on the fund's financial performance.

What skills and qualifications are needed to thrive as a data scientist hedge fund?

To thrive as a Data Scientist at a hedge fund, you need a strong background in statistics, machine learning, and quantitative analysis, typically supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Proficiency with programming languages like Python or R, experience with big data tools (e.g., SQL, Spark), and familiarity with financial data platforms and certifications such as CFA are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are essential soft skills. These qualifications enable data scientists to extract actionable insights from large datasets, drive investment decisions, and collaborate effectively within high-stakes, fast-paced environments.

How much do data scientists at hedge funds make?

Data scientists at hedge funds typically earn between $100,000 and $200,000 annually, with experienced professionals and those in senior roles earning higher salaries that can exceed $250,000 including bonuses. Compensation often includes base salary, performance bonuses, and profit-sharing, reflecting the competitive and high-stakes nature of hedge fund environments. Skills in quantitative analysis, machine learning, and programming are highly valued in this field.

What does a data scientist do at a hedge fund?

A data scientist at a hedge fund analyzes large datasets to develop quantitative models that inform trading strategies and investment decisions. They use statistical techniques, machine learning, and programming tools like Python or R to identify patterns and forecast market trends, often working closely with traders and analysts in a fast-paced environment.
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Data Scientist Hedge Fund jobs near you
Infographic showing various Data Scientist Hedge Fund job openings in the United States as of August 2026, with employment types broken down into 7% Internship, 79% Full Time, 7% Part Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $165,018 per year, or $79.3 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 27 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