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Citadel Quantitative Researcher Jobs (NOW HIRING)

Pear

Chief of Staff - Polynomic

New York, NY · On-site

$150K - $200K/yr

... Google Ads, Citadel, HBS, Harvard) and Nathan (ex Google Research, HBS, Stanford CS). Madhav ... You have a quantitative aptitude, are very comfortable with SQL and analyzing data * You are AI ...

Career Renew

Applied AI Engineer

Manhattan, NY

... Citadel, P72, Addepar) or other data-first and quantitative fields (e.g., health/bio tech) ... an R&D team - constantly evaluating new developments in AI and accommodating the roadmap ...

Career Renew

Applied AI Engineer

New York, NY

$200K - $250K/yr

... Citadel, P72, Addepar) or other data-first and quantitative fields (e.g., health/bio tech) ... an R&D team - constantly evaluating new developments in AI and accommodating the roadmap ...

Vise

Vise Talent Network

New York, NY · On-site

D. quants, investment researchers, and engineers with experience at industry-leading firms like Citadel, Blackrock, Stripe, and Stanford. Combining top financial and engineering talent, we pride ...

Vise

Vise Talent Network

New York, NY · On-site

D. quants, investment researchers, and engineers with experience at industry-leading firms like Citadel, Blackrock, Stripe, and Stanford. Combining top financial and engineering talent, we pride ...

AfterQuery

Technical Recruiter

San Francisco, CA · On-site

$110K - $130K/yr

About AfterQuery AfterQuery is an applied research lab curating data solutions for foundation model ... Founding team has experience from Citadel Securities, Meta, Google, Silver Lake, Morgan Stanley ...

Sola

Founding Recruiter

New York, NY · On-site

$120K - $150K/yr

... the largest quantitative funds, crypto projects, and research labs, and have been founders ... Citadel Securities, Goldentree AM), and have extensive research experience in relevant areas ...

Mercor

Data Scientist

San Francisco, CA · On-site

$130K - $500K/yr

You'll work alongside researchers, operators, and AI companies at the forefront of shaping the ... Qualifications * 0-2 years in data science/analytics or similar; BS/BA in a quantitative field (or ...

Vise

Accelerate Fellowship (Summer 2026)

New York, NY · On-site

D. quants, investment researchers, and engineers with experience at industry-leading firms like Citadel, Blackrock, Stripe, and Stanford. Combining top financial and engineering talent, we pride ...

Vise

Business Operations Lead

New York, NY · On-site

$140K - $175K/yr

D. quants, investment researchers, and engineers with experience at industry-leading firms like Citadel, Blackrock, Stripe, and Stanford. Combining top financial and engineering talent, we pride ...

Vise

Talent Acquisition Lead

New York, NY · On-site

$110K - $140K/yr

D. quants, investment researchers, and engineers with experience at industry-leading firms like Citadel, Blackrock, Stripe, and Stanford. Combining top financial and engineering talent, we pride ...

Vise

Technology Operations Lead

New York, NY

D. quants, investment researchers, and engineers with experience at industry-leading firms like Citadel, Blackrock, Stripe, and Stanford. Combining top financial and engineering talent, we pride ...

Vise

Business Operations Lead

New York, NY · On-site

$140K - $175K/yr

D. quants, investment researchers, and engineers with experience at industry-leading firms like Citadel, Blackrock, Stripe, and Stanford. Combining top financial and engineering talent, we pride ...

Vise

Accelerate Fellowship (Summer 2026)

New York, NY · On-site

D. quants, investment researchers, and engineers with experience at industry-leading firms like Citadel, Blackrock, Stripe, and Stanford. Combining top financial and engineering talent, we pride ...

Vise

Talent Acquisition Lead

New York, NY · On-site

$110K - $140K/yr

D. quants, investment researchers, and engineers with experience at industry-leading firms like Citadel, Blackrock, Stripe, and Stanford. Combining top financial and engineering talent, we pride ...

Vise

Technology Operations Lead

New York, NY · On-site

D. quants, investment researchers, and engineers with experience at industry-leading firms like Citadel, Blackrock, Stripe, and Stanford. Combining top financial and engineering talent, we pride ...

Vise

Senior Software Engineer

New York, NY · On-site

$180K - $250K/yr

D. quants, investment researchers, and engineers with experience at industry-leading firms like Citadel, Blackrock, Stripe, and Stanford. Combining top financial and engineering talent, we pride ...

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All JobsCitadel Quantitative Researcher Jobs

Citadel Quantitative Researcher information

See salary details

$52.5K

$119.2K

$196.5K

How much do citadel quantitative researcher jobs pay per year?

As of Jun 11, 2026, the average yearly pay for citadel quantitative researcher in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What does a Quantitative Researcher at Citadel do?

A Quantitative Researcher at Citadel develops and tests mathematical models to identify trading opportunities and manage risk in financial markets. They analyze large datasets, use programming languages like Python or C++, and apply statistical and machine learning techniques to inform trading strategies. The role typically requires strong quantitative skills, a background in math, physics, or engineering, and the ability to work in a fast-paced, data-driven environment.

What is the difference between Citadel Quantitative Researcher vs Jane Street Quantitative Trader?

AspectCitadel Quantitative ResearcherJane Street Quantitative Trader
Required CredentialsAdvanced degrees in STEM fields, strong programming skillsSimilar, often with advanced degrees and programming expertise
Work EnvironmentResearch-focused, collaborative teams, data-driven decision makingTrading-focused, fast-paced, collaborative trading desks
Industry UsagePrimarily in hedge funds, quantitative investment firmsPrimarily in proprietary trading firms, hedge funds

Both roles require strong quantitative skills, advanced degrees, and programming expertise. While Citadel Quantitative Researchers focus on developing models and strategies, Jane Street Quantitative Traders execute trading strategies in real-time. Both positions are highly competitive and integral to their firms' success in the financial industry.

What are the key skills and qualifications needed to thrive as a Citadel Quantitative Researcher, and why are they important?

To thrive as a Citadel Quantitative Researcher, you need a strong background in mathematics, statistics, and computer science, typically supported by an advanced degree such as a PhD or Master's in a quantitative field. Proficiency with programming languages like Python, C++, and statistical analysis tools, as well as experience with data modeling and machine learning frameworks, is crucial. Strong problem-solving skills, intellectual curiosity, and effective communication set top candidates apart in this role. These skills enable researchers to develop innovative strategies, collaborate across teams, and drive data-driven decision-making in a highly competitive financial environment.

How does a Citadel Quantitative Researcher collaborate with software engineers and traders in daily work?

As a Quantitative Researcher at Citadel, you will work closely with software engineers and traders to develop, test, and implement trading strategies. Collaboration typically involves sharing insights on model performance, discussing data requirements, and refining algorithms to ensure efficient execution and risk management. Regular meetings and communication help align objectives, troubleshoot issues, and optimize strategies for market conditions. This interdisciplinary teamwork is essential for translating quantitative research into actionable trading decisions and maintaining Citadel's competitive edge.

How hard is it to get hired by Citadel?

Getting hired as a Citadel Quantitative Researcher is highly competitive, requiring strong academic credentials, advanced quantitative skills, and experience in areas like mathematics, computer science, or finance. Candidates often undergo rigorous interviews that test technical knowledge, problem-solving ability, and coding skills in languages such as Python or C++.

How much does a quant researcher make at Citadel?

A quantitative researcher at Citadel typically earns a base salary ranging from $150,000 to $250,000 annually, with total compensation often exceeding $300,000 when including bonuses and performance incentives. Compensation varies based on experience, education, and performance, and the role requires strong quantitative skills and programming expertise in languages like Python or C++.

Is Citadel GQs good?

Citadel Quantitative Researchers (GQs) are highly regarded in the finance industry for their strong analytical skills, programming expertise, and ability to develop complex trading models. The role typically requires advanced degrees in quantitative fields and proficiency in tools like Python, C++, or MATLAB. It offers competitive compensation and a fast-paced, data-driven environment.

What is a Citadel Quantitative Researcher?

A Citadel Quantitative Researcher is a professional who uses advanced mathematical models, statistical analysis, and programming skills to develop trading strategies and analyze financial markets at Citadel, a leading global hedge fund. They work closely with data scientists, engineers, and traders to identify investment opportunities and manage risk. Their work involves large-scale data analysis, model development, backtesting, and implementing algorithms in a high-performance computing environment.
Infographic showing various Citadel Quantitative Researcher job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.
Portfolio Management Engineer

Portfolio Management Engineer

Brooklyn Investment Group

New York, NY

$125K - $160K/yr

Full-time

Posted 16 days ago

Job description

Brooklyn Investment Group is an SEC-registered Investment Adviser that leverages the technology of its parent company, Brooklyn Artificial Intelligence Research. This technology is combined with institutional-grade portfolio optimization and automated tax-loss harvesting to power personalized portfolios for our clients, including financial advisory firms and asset managers.

Over the past five years, Brooklyn Artificial Intelligence Research has developed one of the most powerful engines for customizing investment portfolios and more than $5 billion has been traded on its portfolios to date. 

Our growing team of 20+ quant investors, machine learning researchers, and software engineers comes from top universities and financial institutions such as Goldman Sachs, Citadel and Bridgewater Associates.

Opportunity 
If you’re interested in the growing intersection of finance and technology, this opportunity offers a unique value proposition. At Brooklyn, we are firm believers in the transformative potential of technology to revolutionize portfolio management and trade execution. We are dedicated to architecting one of the most cutting-edge portfolio management platforms in the industry.

As a Portfolio Management Engineer, you will play a crucial role as the primary liaison for our clients, operational partners, and custodians. Your core responsibilities will involve developing tech-forward tools to optimize portfolio management, trade execution, and reconciliation processes. You'll collaborate closely with teams across quant, engineering, research, and trading to ensure seamless workflows and innovation.
Responsibilities
  • Ongoing Portfolio Management: Act as a bridge between portfolio management and trading teams, serving as the primary point of contact for operational partners and custodians, lending to smooth coordination and execution of trades.
  • Platform Enhancements: Take part in  the implementation of enhancements to the portfolio management platform, utilizing stakeholder feedback and industry benchmarks to enhance functionality, reliability, and scalability, all while maintaining a top-notch user experience.
  • Collaborative Coordination: Coordinate closely with portfolio construction teams to ensure alignment between client objectives and investment strategies, facilitating a seamless experience for clients throughout the investment lifecycle.
  • Client Service: Serve as a primary point of contact for clients regarding portfolio management, trading, and reporting, offering timely updates and addressing any inquiries or concerns to maintain a high level of client satisfaction.
Skills & Experience Core
  • Professional Experience:  Two or more years of professional work experience in equities portfolio management or investment operations.
  • Education Background:  Bachelor's or Master’s degree from a leading institution in a quantitative discipline, such as mathematics, natural sciences, engineering, computer science, or economics.
  • Proficiency in Python:  Demonstrate an advanced level of skill in Python programming. Follow industry best practices in software development, ensuring code is clean, modular, and efficient.
  • Professional Attributes:  Desire to work in a fast-paced environment with meticulous attention to detail, striving to stay at the forefront of innovation in investment management.
  • Experience interacting with custodian platforms, such as Schwab and Fidelity, familiarity with order management systems, and trade execution, involving algorithmic solutions, are advantageous but not mandatory.
Please send your CV, GitHub profile, and a paragraph on why you'd be an excellent addition to the company to hiring@bkln.com.

Anticipated range of $125,000-$160,000 for base salary, depending on the amount of compensation desired in equity options, and on the level of experience.

Check out our full list of job openings here.

Brooklyn Investment Group, LLC, is a wholly owned subsidiary of Brooklyn Artificial Intelligence Research, D/B/A of Skopos Labs, Inc. Brooklyn Investment Group and Brooklyn Artificial Investment Research are equal opportunity employers. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.