1

Quant Researcher Jobs (NOW HIRING)

About the role We are looking for a Quantitative Researcher to fit into our existing highly-skilled NY-based quantitative team. As a part of our Quant team you'll be studying the crypto market to ...

Quant Researcher

New York, NY · On-site

$200K - $300K/yr

This means as a quantitative developer, you will work with a growing team comprised of quantitative researchers, software engineers, product managers, designers, and brokerage operations ...

Quant Researcher

New York, NY · On-site

$150K - $250K/yr

We're hiring a Quant Researcher who will help build what comes next: new indices, new models, and quant problems across the exchange as the business scales. There's no playbook here. You'll own ...

Quant Researcher

New York, NY · On-site

$175K - $250K/yr

... quantitative finance right now. Who You Are * You hold a PhD degree in a hard science or mathematics. * You have a proven track record of academic or professional research that used numerical ...

Quant Researcher

Manhattan, NY · On-site

$175K - $250K/yr

Quantitative Researcher Department: Global Markets Location: New York Corporate Title: Associate/Vice President The pay range for this position at commencement of employment is expected to be between ...

Quant Researcher

Manhattan, NY · On-site

$175K - $250K/yr

Quantitative Researcher Department: Global Markets Location: New York Corporate Title: Associate/Vice President The pay range for this position at commencement of employment is expected to be between ...

Quant Researcher, Trading

Atlanta, GA · Hybrid

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading Research team, where they will help generate trading insights and improve execution outcomes across global ...

Quant Researcher, Trading

New York, NY · Hybrid

$120K - $160K/yr

Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading Research team, where they will help generate trading insights and improve execution outcomes across global ...

Graduate Quant Researcher Program Chicago 2027 Maven Securities is a leading proprietary trading firm that leverages sophisticated technology and quantitative analysis to trade in global financial ...

Graduate Quant Researcher Program Chicago 2027 Maven Securities is a leading proprietary trading firm that leverages sophisticated technology and quantitative analysis to trade in global financial ...

next page

Showing results 1-20

Quant Researcher information

See salary details

$52.5K

$119.2K

$196.5K

How much do quant researcher jobs pay per year?

As of Aug 17, 2026, the average yearly pay for quant 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 quant researcher do?

A Quant Researcher develops mathematical models and algorithms to analyze financial markets, identify trading opportunities, and optimize investment strategies. They use statistical techniques, programming skills, and financial knowledge to extract insights from large datasets. Common responsibilities include backtesting strategies, implementing machine learning models, and collaborating with traders and developers. Most Quant Researchers have strong backgrounds in mathematics, statistics, computer science, or physics.

What does a typical day look like for a quant researcher, and how do they interact with other teams?

A typical day for a Quant Researcher often involves designing, coding, and testing quantitative models to analyze financial markets or strategies, as well as interpreting large datasets to extract actionable insights. You might spend time collaborating with traders, portfolio managers, or software engineers to refine trading algorithms or improve risk models. Frequent meetings and brainstorming sessions are common, as sharing ideas is key to innovation and solving complex problems. This close teamwork fosters a dynamic, intellectually stimulating environment and helps ensure that quantitative insights are effectively integrated into business decisions.

What are the key skills and qualifications needed to thrive as a quant researcher, and why are they important?

To thrive as a Quant Researcher, you need a strong background in advanced mathematics, statistics, and programming, often supported by a graduate degree in a quantitative field such as mathematics, physics, computer science, or engineering. Expertise in technical tools such as Python, R, MATLAB, and familiarity with data analysis platforms and financial modeling libraries is typically required. Critical thinking, problem-solving abilities, and effective communication are important soft skills that help you convey complex quantitative findings to both technical and non-technical stakeholders. These skills enable Quant Researchers to develop robust financial models, optimize strategies, and contribute to data-driven decision-making in competitive finance environments.

Are quant researchers in demand?

Quant researchers are in high demand in finance, technology, and hedge funds due to their expertise in data analysis, statistical modeling, and programming skills. The role often requires proficiency in languages like Python or R and knowledge of financial markets, with employment prospects remaining strong as data-driven decision-making grows in importance.

How much money does a quant researcher make?

A quant researcher typically earns a salary ranging from $80,000 to over $200,000 annually, depending on experience, location, and the firm. Senior roles or those with advanced skills in programming and statistical analysis can earn higher compensation, often supplemented with bonuses and incentives.

What is the job of a quant researcher?

A quant researcher develops mathematical models and algorithms to analyze financial data and identify trading opportunities. They use programming skills and statistical techniques to inform investment strategies and often work in finance or hedge funds. Strong analytical skills and proficiency in tools like Python or R are essential for this role.
More about Quant Researcher jobs

What cities are hiring for Quant Researcher jobs?

Cities with the most Quant Researcher job openings:

What are the most commonly searched types of Quant Researcher jobs?

The most popular types of Quant Researcher jobs are:

What states have the most Quant Researcher jobs?

States with the most job openings for Quant Researcher jobs include:

Infographic showing various Quant Researcher job openings in the United States as of August 2026, with employment types broken down into 77% Full Time, 18% Part Time, and 5% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Quant Researcher

Injective Labs

New York, NY • On-site, Remote

Full-time

Medical, PTO

Re-posted 26 days ago


Job description

About Injective Labs
Injective Labs is trailblazing a new dawn for Web3 enabled finance. We are the core contributors to Injective, one of the fastest growing blockchains in the industry.
Injective provides an interoperable smart contracts platform that is optimized for building decentralized finance applications. Interoperability is at the core of Injective, which is natively integrated with chains such as Ethereum, Cosmos and Solana. Developers can rapidly launch premier financial applications suited for mass adoption using Injective's infrastructure and specialized DeFi primitives such as the world's first fully on-chain order book.
Our team has decades of experience spearheading the largest financial institutions and tech organizations. Injective is incubated by Binance and is backed by leading firms such as Jump Crypto, Pantera and Mark Cuban.
About the role
We are looking for a Quantitative Researcher to fit into our existing highly-skilled NY-based quantitative team. As a part of our Quant team you'll be studying the crypto market to find profitable trading opportunities and build automated trading strategies. The ideal candidate would be someone who has experience working with low-latency execution engines, handling real-time market data, and producing strategies that react immediately to market changes. If this sounds like you and you enjoy working in fast paced environments, this role is for you!
Responsibilities:
  • Analyze market microstructure and on-chain data to identify inefficiencies and trading opportunities.
  • Apply statistical and machine-learning techniques to generate, validate, and improve trading signals.
  • Design and implement market-making, arbitrage, and systematic strategies end-to-end.
  • Build and maintain signal-generation pipelines, feature stores, and parameter-optimization tooling.
  • Develop robust backtesting frameworks; conduct performance analysis and attribution.
  • Implement trading system components, including order management and exchange connectivity.
  • Build and operate data pipelines and research platforms for high-quality, reproducible research.
  • Ensure system reliability, scalability, and latency/performance optimization in production.
  • Implement risk monitoring and control systems across strategies and venues.
  • Run post-trade analytics to evaluate execution quality, slippage, and market impact.
  • Develop risk metrics, dashboards, and reporting tools for strategy and portfolio oversight.
  • Run simulations and estimate market impact for both liquid and illiquid assets.

Who you are:
  • M.S. or Ph.D. in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field.
  • 3-5 years of quantitative research/analysis or development experience.
  • Experience in HFT development.
  • Strong foundation in probability, statistics, time-series modeling, and quantitative methods.
  • Expert-level Python for research and production; proficiency in C++ or Rust for performance-critical components.
  • Solid grasp of data structures, algorithms, software engineering principles, and version control.
  • Experience with statistical analysis, backtesting methodologies, and strategy development.
  • Ability to create and use algorithms to investigate large datasets and resolve data/logic errors with rigor.
  • Understanding of financial markets, trading concepts, and risk-management principles.
  • Ideally based in New York or willing to relocate.

Preferred:
  • Experience with machine-learning frameworks and distributed/parallel computing.
  • Familiarity with Linux development environments and modern DevOps practices.
  • Understanding of cryptocurrency markets, DeFi protocols, and on-chain analytics.
  • Experience with real-time trading systems, low-latency applications, and exchange integrations.
  • Knowledge of blockchain technology, smart-contract fundamentals, and MEV-aware strategies.
  • Professional certifications (e.g., CFA, FRM), prior experience in quantitative trading/fintech, and/or publications in relevant fields.

Why work with us?
  • Competitive salary and INJ token award.
  • Unlimited PTO.
  • Health Insurance.
  • Equipment.
  • Home Office Stipend.
  • Flexible working hours.
  • Opportunity to work on cutting-edge blockchain technology in the finance industry.
  • Collaborative team culture with opportunities for professional growth and development.
  • Global team meet ups.

As an equal opportunity employer we don't tolerate discrimination or harassment of any kind. Whether that's based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
We will only contact candidates using emails from the @injectivelabs.org domain. If you are approached by any other account or domain regarding this position, it was not sent by us. Please stay cautious and report any suspicious communication.