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Asset Management Quantitative Researcher Jobs (NOW HIRING)

T Rowe Price

Quantitative Researcher

Manhattan, NY · Hybrid

Working alongside experienced analysts and portfolio managers, this role will help deliver ... Work collaboratively across teams (Integrated Equity, Fixed Income, Multi-Asset Research, Data ...

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

Our client is seeking a talented Quantitative Researcher to join their team and contribute to the ... Develop a deep understanding of market structure across various exchanges and asset classes.

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Asset Management Quantitative Researcher information

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$119.2K

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How much do asset management quantitative researcher jobs pay per year?

As of Sep 9, 2026, the average yearly pay for asset management 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 is an asset management quantitative researcher?

An Asset Management Quantitative Researcher is a professional who uses mathematical models, statistical techniques, and data analysis to guide investment decisions and portfolio management within asset management firms. They develop and implement quantitative strategies, analyze large datasets, and work closely with portfolio managers to optimize returns and manage risks. Their work often involves programming, financial modeling, and staying up-to-date with the latest research in quantitative finance. These researchers play a critical role in helping firms achieve superior investment performance in increasingly complex financial markets.

How does an asset management quantitative researcher typically collaborate with portfolio managers and other teams?

Asset Management Quantitative Researchers frequently work closely with portfolio managers to develop, test, and refine investment strategies using data-driven models. They also collaborate with risk management teams to ensure that proposed models align with the firm’s risk parameters. Regular communication and teamwork are essential, as researchers must explain complex quantitative findings to non-technical stakeholders and incorporate feedback from various departments to enhance portfolio performance. This cross-functional collaboration is key to translating research insights into actionable investment decisions.

What are the key skills and qualifications needed to thrive as an asset management quantitative researcher?

To thrive as an Asset Management Quantitative Researcher, you need advanced quantitative and statistical analysis skills, a strong background in mathematics, finance, or related fields, and often a graduate degree (MSc/PhD). Familiarity with programming languages such as Python, R, or MATLAB, experience with data analysis platforms, and knowledge of financial modeling tools are typically required. Outstanding problem-solving abilities, attention to detail, and effective communication help researchers translate complex data into actionable investment insights. These competencies are vital for developing robust investment strategies and delivering superior portfolio performance in a data-driven environment.

What is the difference between Asset Management Quantitative Researcher vs Quantitative Analyst?

AspectAsset Management Quantitative ResearcherQuantitative Analyst
CredentialsTypically requires a master's or PhD in finance, mathematics, or related fieldsSimilar educational background, often with advanced degrees in quantitative disciplines
Work EnvironmentPrimarily in asset management firms, focusing on investment strategiesIn banks, hedge funds, or financial institutions, supporting trading and risk management
Industry UsageCommonly employed in asset management and investment firmsWidespread across banking, hedge funds, and financial services

Both roles involve advanced quantitative skills and similar educational backgrounds. However, Asset Management Quantitative Researchers focus on developing investment models within asset management firms, while Quantitative Analysts often support trading, risk management, and financial products across various financial institutions.

What cities are hiring for Asset Management Quantitative Researcher jobs?

Cities with the most Asset Management Quantitative Researcher job openings:

What states have the most Asset Management Quantitative Researcher jobs?

States with the most job openings for Asset Management Quantitative Researcher jobs include:

What are popular job titles related to Asset Management Quantitative Researcher jobs?

For Asset Management Quantitative Researcher jobs, the most frequently searched job titles are:

Infographic showing various Asset Management Quantitative Researcher job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. 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.

Quantitative Researcher

New York, NY • On-site

Millennium Management LLC
See more jobs at Millennium Management LLCexternal

$160K - $250K/yr

Full-time

Re-posted 11 days ago

Millennium Management rating

7.0

Company rating: 7.0 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

Quantitative Researcher
About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium's mission is to deliver results for our investors.
Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.
Meet the Team
Millennium's Global Risk Management Department is responsible for identifying, measuring, monitoring, managing and reporting on the risks associated with Millennium's portfolios at the Firm-wide and Portfolio Manager levels, with a focus on the market, credit and liquidity risks the Firm faces in the course of its business. At the Portfolio Manager level, the team establishes and monitors trading parameters, risk guidelines and performance metrics across three regions and multiple product classes, and also monitors aggregations of risk up to the full Firm-wide level. Within Risk Management, the Quantitative Strategies team is a collaborative and entrepreneurial investment team that develops quantitative investment strategies across asset classes, including equities, fixed income, commodities, credit and FX, and across a broad set of instruments spanning futures, forwards, options, swaps and cash products. The team works across the full research lifecycle: idea generation, data sourcing, signal development, model implementation, backtesting, portfolio construction and live strategy refinement.
What You'll Do
  • Conduct original research and develop systematic investment strategies across all asset classes, including equities, rates, commodities, credit, and FX.
  • Generate and test new research ideas using financial intuition, statistical learning, and large, diverse datasets.
  • Build and improve research infrastructure, including data pipelines, signal analytics, backtesting tools, and portfolio analytics.
  • Analyze strategy performance with attention to robustness, implementation, transaction costs, liquidity, and risk exposures.
  • Research opportunities across futures, forwards, options, swaps, and cash instruments, including relative value, directional, and cross-asset themes.
  • Partner closely with portfolio managers, researchers, and technologists to move ideas from research into production.
  • Monitor live strategies and refine models based on empirical results and changing market behavior.

What You Bring
  • Advanced degree in an applied quantitative field such as statistics, econometrics, computer science, engineering, operations research, financial engineering, applied mathematics, or data science; PhD preferred but not required, and exceptional candidates with a Bachelor's or Master's degree or equivalent industry experience will also be considered
  • Excellent Python skills, including experience with common scientific/data libraries such as pandas, NumPy, SciPy, Polars, scikit-learn, or similar tools, and the ability to build clean, scalable research code.
  • Strong grounding in statistics, probability, optimization, and empirical modeling, with rigorous model evaluation and healthy skepticism around overfitting.
  • Experience working with large financial datasets, market data, and reproducible research workflows.
  • Ability to build clean, scalable research code and evaluate models rigorously.
  • Experience in quantitative research, systematic investing, hedge funds, asset management, or related research environments, with a preference for training rooted in applied problem-solving rather than purely theoretical work.
  • Strong preference for experience in QIS (Quantitative Investment Strategies), systematic equities, cross-asset, or multi-asset derivatives research, especially tail hedging strategies; experience researching or trading systematic equities, credit, or volatility is highly desirable.
  • Familiarity with derivatives and implementation considerations across options, swaps, and forwards; experience with machine learning, trading cost analysis, or intraday strategy research is helpful but not required.
  • Intellectual curiosity and genuine interest in markets and alpha research, creativity and proactive problem-solving, and the demonstrated ability to conduct independent research, communicate results clearly, and work independently in a transparent, collaborative team.

Salary Range
Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $160,000 to $250,000, 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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