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Hedge Fund Quantitative Developer Jobs (NOW HIRING)

IMC

Quantitative Developer - Python

Chicago, IL

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... fund * Strong production experience in Python, including data analysis workflows (pandas, polars ...

1823 Partners

Quantitative Developer - ALM

New York, NY · On-site

$175K - $200K/yr

We are seeking a highly motivated Quantitative Developer to join our team and play a key role in ... and hedging strategy. * Develop and enhance scenario and sensitivity frameworks to stress-test ...

IMC

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... fund * Strong production experience in Python, including data analysis workflows (pandas, polars ...

IMC

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... fund * Strong production experience in Python, including data analysis workflows (pandas, polars ...

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Hedge Fund Quantitative Developer information

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$169K

$210.6K

$240.5K

How much do hedge fund quantitative developer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for hedge fund quantitative developer in the United States is $210,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $187,500.00 and $233,800.00 per year, depending on experience, location, and employer.

What are Hedge Fund Quantitative Developers?

Hedge Fund Quantitative Developers, often called 'quant devs,' are professionals who create and maintain complex computer models and software used by hedge funds to analyze financial data, develop trading strategies, and manage risk. They combine expertise in programming, mathematics, and finance to translate quantitative trading ideas into reliable, efficient code. Their work enables hedge funds to process large datasets, backtest strategies, and execute trades at high speeds. Quantitative developers often collaborate closely with quantitative analysts and traders to implement and optimize algorithms in real-time trading systems.

What is the difference between Hedge Fund Quantitative Developer vs Quantitative Analyst?

AspectHedge Fund Quantitative DeveloperQuantitative Analyst
Primary RoleDevelops and implements trading algorithms and models for hedge fundsAnalyzes data to inform trading strategies and risk management
Skills & CredentialsStrong programming, quantitative skills, often with advanced degrees in math, finance, or computer scienceQuantitative skills, statistical analysis, often with similar educational background
Work EnvironmentFast-paced hedge fund setting, collaborative with traders and developersResearch-focused, often in financial institutions or asset management firms

Hedge Fund Quantitative Developers focus on building and optimizing trading systems, while Quantitative Analysts primarily analyze data to support trading decisions. Both roles require strong quantitative skills and advanced degrees, but their day-to-day tasks and focus areas differ within the finance industry.

What are the key skills and qualifications needed to thrive as a Hedge Fund Quantitative Developer, and why are they important?

To thrive as a Hedge Fund Quantitative Developer, you need strong quantitative analysis skills, programming expertise (often in Python, C++, or Java), and a solid educational background in mathematics, statistics, or a related field. Familiarity with financial modeling, data analytics platforms, and version control systems like Git is typically required, along with experience using libraries such as NumPy, pandas, or TensorFlow. Exceptional problem-solving, adaptability, and effective communication skills help you stand out by collaborating with traders and other developers. These competencies are essential for developing robust trading algorithms, optimizing strategies, and ensuring successful integration within fast-paced financial environments.

What are some common challenges faced by Hedge Fund Quantitative Developers and how can I prepare for them?

Hedge Fund Quantitative Developers often encounter the challenge of balancing rapid prototyping with robust, production-level code, especially in fast-paced trading environments. You'll frequently need to collaborate with quants, traders, and IT teams to translate research ideas into scalable, efficient systems while ensuring data integrity and low-latency performance. Staying updated on the latest financial modeling techniques and mastering programming languages commonly used in the industry (such as Python, C++, or Java) can help you meet these demands. Additionally, being proactive about code reviews, testing, and documentation will set you apart in this highly collaborative and dynamic role.
More about Hedge Fund Quantitative Developer jobs
What cities are hiring for Hedge Fund Quantitative Developer jobs? Cities with the most Hedge Fund Quantitative Developer job openings:
What states have the most Hedge Fund Quantitative Developer jobs? States with the most job openings for Hedge Fund Quantitative Developer jobs include:
What job categories do people searching Hedge Fund Quantitative Developer jobs look for? The top searched job categories for Hedge Fund Quantitative Developer jobs are:
Hedge Fund Quantitative Developer jobs near you
Infographic showing various Hedge Fund Quantitative Developer job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, 3% Part Time, 1% Temporary, and 13% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $210,625 per year, or $101.3 per hour.
Quantitative Researcher, Systematic Macro

Quantitative Researcher, Systematic Macro

Millennium Management LLC

New York, NY • On-site

$150K - $200K/yr

Full-time

Posted 20 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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