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Entry Level Hedge Fund Quant Jobs (NOW HIRING)

Verition Group LLC

PM Engagement Analyst

Miami, FL · On-site

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in ... Work closely with data teams and quant researchers, to identify gaps in workflows and improve the ...

Magnetar

Senior Associate, Fund Finance

Evanston, IL · On-site

Alternative Credit and Fixed Income, Quantitative Investing, and Venture. Magnetar employees are ... The position provides high visibility to various groups and exposure to a variety of hedge fund ...

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Entry Level Hedge Fund Quant information

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$98K

$169.7K

$259.5K

How much do entry level hedge fund quant jobs pay per year?

As of Aug 13, 2026, the average yearly pay for entry level hedge fund quant in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What does an entry level hedge fund quant do?

An entry level hedge fund quant, short for quantitative analyst, uses mathematical models and statistical techniques to analyze financial data and help develop trading strategies. Their responsibilities often include processing large data sets, running simulations, building and testing algorithms, and supporting portfolio managers with quantitative research. They typically work closely with more senior quants and traders, learning advanced techniques and gaining experience in financial markets. Strong programming skills and a background in mathematics, statistics, or related fields are usually required.

What are the key skills and qualifications needed to thrive as an entry level hedge fund quant?

To thrive as an Entry Level Hedge Fund Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in quantitative fields such as mathematics, physics, engineering, or computer science. Familiarity with technical tools like Python, R, MATLAB, and experience with data analysis platforms or financial modeling software is often expected. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for translating complex data into actionable investment strategies. These skills are vital for developing, testing, and implementing quantitative models that drive successful trading and risk management decisions in a competitive finance environment.

What are some common challenges faced by entry level quants at hedge funds, and how can I prepare for them?

Entry level hedge fund quants often encounter challenges such as adapting to the fast-paced environment, understanding complex financial instruments, and working with large datasets under tight deadlines. You may also need to quickly learn proprietary tools and collaborate closely with traders, portfolio managers, and senior quants. To prepare, focus on strengthening your programming (Python, R, or C++), statistical analysis, and communication skills, and be ready to learn from feedback while managing multiple priorities. Being proactive about seeking mentorship and continuously improving your technical expertise will help you succeed and grow in this demanding but rewarding field.

What is the difference between Entry Level Hedge Fund Quant vs Entry Level Quantitative Analyst?

AspectEntry Level Hedge Fund QuantEntry Level Quantitative Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; some firms prefer CFA or similar certificationsDegree in Math, Finance, or Computer Science; certifications like CFA are common but not mandatory
Work EnvironmentFast-paced hedge fund setting focused on trading strategies and risk managementFinancial institutions, investment banks, or asset management firms focusing on model development
Employer & Industry UsagePrimarily hedge funds, trading firmsInvestment banks, asset managers, hedge funds

Both roles require strong quantitative skills and similar educational backgrounds. The main difference lies in the work environment and focus: hedge fund quants typically work on trading strategies and risk management within hedge funds, while quantitative analysts often develop models for various financial institutions. Understanding these distinctions helps candidates target their job search effectively.

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Entry Level Hedge Fund Quant jobs near you
Infographic showing various Entry Level Hedge Fund Quant job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

PM Engagement Analyst

Verition Group LLC

Miami, FL • On-site

Full-time

Re-posted 12 days ago

Job description

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008.  Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

We are seeking a highly motivated PM Engagement Analyst to support the senior PM Engagement team in their work with Portfolio Managers and analysts within our Long/Short Equity business at a leading multi-strategy hedge fund. This role sits at the intersection of investing, data, analytics, and technology, helping teams leverage data, factor analytics, and internal tools to improve research workflows and investment decision-making.  The ideal candidate will have a strong analytical mindset, foundational technical skills in Python and SQL, familiarity with factor models and equity investing, and a desire to work closely with front-office investment professionals in a fast-paced environment.

Key Responsibilities

  • Partner directly with senior members of the L/S engagement team to support data-driven workflows analyzing L/S PM performance and trading behavior.
  • Support engagement team on ad hoc analysis, portfolio diagnostics, and research tooling.
  • Work with factor models and portfolio analytics frameworks to help investment teams better understand exposures, risk, and performance drivers.
  • Analyze portfolio positioning, style exposures, and alpha signals across L/S Equity strategies.
  • Support workflows related to risk decomposition, factor attribution, and portfolio construction.
  • Use Python and SQL to analyze large datasets, automate workflows, and build lightweight analytical tools.
  • Help improve internal data workflows and reporting processes for investment teams.
  • Work closely with data teams and quant researchers, to identify gaps in workflows and improve the investment process.
  • Contribute to the rollout and adoption of internal analytics and research tools.

Required Qualifications

  • 2-4 years of experience within financial services, ideally supporting investment teams, research workflows, data analysis, or portfolio analytics.
  • Foundational proficiency in Python and SQL
  • Comfortable working with large datasets and performing data analysis
  • Understanding of fundamental Long/Short Equity investing
  • Familiarity with factor models, portfolio analytics, and risk concepts
  • Strong judgment and intellectual curiosity
  • Ability to not just produce analysis but also present it in a clear and engaging manner

Desirable Skills

  • Experience with portfolio/risk platforms such as Barra, Axioma, FactSet, Bloomberg, or similar tools.
  • Exposure to alternative data workflows and equity research processes.
  • Familiarity with visualization and analytics tools (Plotly, Streamlit, Dash).
  • Interest in AI-driven research workflows and modern data tooling.

Apply