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Quantitative Researcher Jobs (NOW HIRING)

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

$200K/yr

Permanent Quantitative Researcher Junior level (internship - 3 years experience) I am working with a globally recognised investment management firm that specialises in systematic and quantitative ...

Anson McCade

Quantitative Researcher

Chicago, IL · On-site

$200K - $400K/yr

Permanent Quant Researcher, HFT Equities/Futures - NYC/Chicago Anson McCade have partnered with a renowned proprietary trading firm which engages in market making and position-taking strategies ...

Seven Research

Quantitative Researcher

New York, NY

$200K - $300K/yr

Your Role Our Quantitative Researchers are the intellectual architects of our trading strategies, responsible for developing sophisticated models that transform complex datasets into actionable ...

Seven Research

Quantitative Researcher

New York, NY · On-site

$200K - $300K/yr

Your Role Our Quantitative Researchers are the intellectual architects of our trading strategies, responsible for developing sophisticated models that transform complex datasets into actionable ...

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

The firm is looking for Quantitative Researchers covering Equities, Futures/D1 or Options trading who can join a flat, collaborative set up where they can research strategies end-to-end. The firm can ...

T Rowe Price

Quantitative Researcher

Manhattan, NY · Hybrid

Role Summary The Quantitative Researcher combines advanced AI and quantitative investing techniques to enhance and support our fundamental investment process. Working alongside experienced analysts ...

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

Our client is seeking a talented Quantitative Researcher to join their team and contribute to the development of cutting-edge trading strategies within their automated trading framework. Key ...

IMC

Quantitative Researcher - Options

Chicago, IL · On-site

$250K - $300K/yr

IMC Trading is seeking a Senior Quantitative Researcher to join the options quant team. You will join the team as a senior member with the expectation of leading projects and mentoring juniors.

IMC

Quantitative Researcher - Options

Chicago, IL

IMC Trading is seeking a Senior Quantitative Researcher to join the options quant team. You will join the team as a senior member with the expectation of leading projects and mentoring juniors.

GSA

Quantitative Researcher

New York, NY

Research at GSA Capital means combining creativity, rigour and attention to detail in the design of systematic investment strategies. Quantitative researchers utilise techniques from many branches of ...

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Quantitative Researcher information

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$119.2K

$196.5K

How much do quantitative researcher jobs pay per year?

As of Aug 5, 2026, the average yearly pay for 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 a quantitative researcher?

A quantitative researcher analyzes business data for an organization. Their job is to examine this data to develop improved business models and aid in financial decision-making. Typical job duties involve using market research and data collection to study trends or problems. They also compile their results into reports for upper management. A career as a quantitative researcher requires a degree in economics, mathematics, statistics, or a related field. Additional qualifications include communication skills, business experience, and knowledge of relevant statistical tools and computer software.

What are some common challenges quantitative researchers face when working with large datasets, and how are they typically addressed?

Quantitative Researchers often encounter challenges such as data quality issues, computational limitations, and ensuring the reproducibility of their analyses when working with large datasets. To address these, they rely on efficient data cleaning techniques, leverage high-performance computing resources, and use version control tools for code and data. Collaborating closely with data engineers and software developers is also common to streamline data pipelines and optimize analytical workflows.

What are the key skills and qualifications needed to thrive as a quantitative researcher?

To thrive as a Quantitative Researcher, you need strong mathematical, statistical, and programming skills, often supported by an advanced degree in a quantitative field such as mathematics, statistics, physics, or computer science. Proficiency with technical tools like Python, R, MATLAB, SQL, and experience with data analysis platforms and machine learning libraries is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable insights and collaborating with interdisciplinary teams. These competencies are crucial for developing robust models, extracting valuable patterns from large datasets, and driving data-informed decision-making.
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Quantitative Researcher jobs near you
Infographic showing various Quantitative Researcher job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Quantitative Researcher

Anson McCade

Manhattan, NY • On-site

$200K/yr

Full-time

Re-posted 15 days ago

Job description

$200000 USD
50000
Onsite WORKING
Location: New York, New York - United States Type: Permanent
Quantitative Researcher
Junior level (internship - 3 years experience)
I am working with a globally recognised investment management firm that specialises in systematic and quantitative investing across a diverse range of financial markets. The firm employs a research-led approach to generate attractive risk-adjusted returns through a broad portfolio of quantitative trading strategies.
Technology, data, and scientific research sit at the heart of the organisation. By combining expertise across quantitative research, trading, engineering, and operations, the firm has developed a sophisticated investment platform supported by proprietary trading systems, large-scale data infrastructure, and advanced computational resources.
With teams based across multiple international locations, the organisation promotes a highly collaborative environment where investment and technology professionals work closely together. Alongside its systematic investment activities, the firm also operates discretionary strategies that complement its quantitative approach by targeting opportunities that may not be suitable for full automation.
The Opportunity
The firm is seeking a Quantitative Researcher to join its Systematic team in New York. This role offers the opportunity to contribute directly to the development, testing, and implementation of quantitative trading models, while working alongside experienced researchers, traders, and engineers.
Key Responsibilities
• Research and develop predictive signals and quantitative models for global equity markets.
  • Conduct statistical analysis on large and complex datasets to identify potential sources of alpha.
  • Manage the end-to-end research process, from idea generation and data preparation through to backtesting, optimisation, and implementation.
  • Evaluate alternative datasets and determine their potential value within existing and future investment strategies.
  • Monitor the performance of live strategies and contribute to their ongoing enhancement and maintenance.
  • Collaborate with trading and technology teams to improve research workflows and production systems.
  • Analyse strategy results and help refine portfolio construction and investment processes.
Requirements
  • Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, Financial Engineering, Quantitative Finance, or a related discipline.
  • Strong Python programming skills and experience developing analytical or research tools.
  • Excellent understanding of statistical methods, probability theory, linear algebra, and time series analysis.
  • Experience handling and analysing large datasets, including data cleaning, transformation, and modelling.
  • Knowledge of financial markets and a keen interest in systematic investing and quantitative research.
  • Strong problem-solving ability with a proactive and ownership-driven mindset.
  • Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a global team.
If you are interested in learning more about this opportunity, please apply.

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