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Entry Level Hedge Fund Quant Jobs (NOW HIRING)

Verition Group LLC

Compliance Analyst

Greenwich, CT · On-site

$80K - $100K/yr

Firm Overview Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge ... This entry-level position is ideal for candidates who are looking to develop a career in compliance ...

Verition Group LLC

Compliance Analyst

New York, NY

Firm Overview Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge ... This entry-level position is ideal for candidates who are looking to develop a career in compliance ...

NumerixSQuant

Senior Accountant (Trading)

Vancouver, WA · On-site +1

$100K - $135K/yr

  • Medical

  • Retirement

NumerixS Quant builds quantitative trading strategies grounded in science and driven by technology ... About you You've built a career in hedge fund or alternative investment accounting, and you're ...

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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 16, 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.

Quantitative Researcher, Systematic Macro

Millennium Management LLC

New York, NY • On-site

$150K - $200K/yr

Full-time

Re-posted 13 days ago

Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Quantitative Researcher, Systematic Macro
Quantitative Researcher, Systematic Macro
Please direct all resume submissions to QuantTalentUS@mlp.com.
Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.
Job Description
A fast-growing, collaborative and entrepreneurial systematic investment team is seeking a highly skilled Quantitative Researcher with expertise in systematic macro strategies. The ideal candidate will contribute to alpha research, signal development, and strategy implementation in a dynamic and fast-paced environment. This role offers significant career growth.
Location
New York
Principal Responsibilities
  • Work closely with the Senior Portfolio Manager to develop systematic macro strategies, focusing on alpha research, including idea generation, data preprocessing, statistical analysis, backtesting and implementation.
  • Contribute to and enhance the internal research platform, including data pipelines, statistical learning tools, alpha analytics, and backtesting frameworks.
  • Independently explore and develop new alpha ideas while collaborating in a transparent and team oriented environment.

Preferred Technical Skillset
  • Strong research and programming skills, with proficiency in Python.
  • Solid experience with data analytics libraries (e.g., Pandas, SciPy, NumPy, Polars); extensive library-building experience is a plus.
  • Masters or PhD degree in a quantitative subject such as Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science or related field from a top ranked university. Strong candidates with Bachelor's degree will also be considered.
  • Exceptional problem-solving abilities, intellectual curiosity (especially in alpha research), and a proactive research mindset.
  • Creativity and out of the box thinking, combined with rigorous quantitative analysis.

Preferred Experience
  • 2+ years of experience in quantitative research with a focus on systematic macro strategies.
  • Preferred experience in hedge fund alpha research in commodities, FX, equity and bond futures.
  • Experience in macro intraday strategies is a strong plus.
  • Experience in trading cost analysis is a plus.
  • Experience in machine learning is a plus.

Target Start Data
  • Up to 12 months (strong preference for candidates who can start sooner)

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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