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Senior Quantitative Researcher Jobs (NOW HIRING)

PDT Partners

Quantitative Researcher

New York, NY · Hybrid

$190K - $250K/yr

PhD in Math, Science, Engineering and other relevant disciplines The PDT team - a quantitative ... Work closely with senior researchers on a variety of trading strategies and research projects, with ...

Edgehog Trading

Quantitative Researcher

Chicago, IL · On-site

... of research or industry experience in quantitative finance, systematic trading, or applied ML ... Direct access to founders and senior team members from day one * Ownership early: Manage real P&L ...

PDT Partners

Quantitative Researcher

New York, NY · On-site

$190K - $250K/yr

PhD in Math, Science, Engineering and other relevant disciplines The PDT team - a quantitative ... Work closely with senior researchers on a variety of trading strategies and research projects, with ...

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Senior Quantitative Researcher information

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$81.5K

$100.1K

$128K

How much do senior quantitative researcher jobs pay per year?

As of Jul 13, 2026, the average yearly pay for senior quantitative researcher in the United States is $100,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a Senior Quantitative Researcher?

A Senior Quantitative Researcher is an expert who uses advanced mathematical, statistical, and computational techniques to analyze data and develop models, often in finance, technology, or scientific research. They lead research projects, create complex algorithms, and provide actionable insights from large datasets. Senior Quantitative Researchers also mentor junior team members, contribute to strategic decision-making, and help organizations gain a competitive edge through data-driven solutions.

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

To thrive as a Senior Quantitative Researcher, you need advanced expertise in mathematics, statistics, and quantitative modeling, typically supported by a graduate degree in a quantitative field such as mathematics, physics, or engineering. Proficiency with programming languages like Python, R, or C++, data analysis tools, and experience with statistical software or high-performance computing platforms is crucial. Exceptional problem-solving ability, strong communication skills, and the capacity to work both independently and collaboratively distinguish top performers in this role. These skills and qualities are vital for developing robust quantitative models, delivering actionable insights, and driving data-driven decision-making within competitive research environments.

What are some common challenges faced by Senior Quantitative Researchers in collaborative projects with portfolio managers and engineers?

Senior Quantitative Researchers often encounter challenges when translating complex mathematical models into actionable strategies that can be implemented by portfolio managers and engineers. Effective communication is crucial, as technical concepts must be clearly explained to non-technical stakeholders. Additionally, balancing the need for rigorous, data-driven analysis with practical constraints such as computational resources and real-time market conditions can be demanding. Successful collaboration requires adaptability, proactive problem-solving, and a willingness to iterate on models based on feedback from cross-functional teams.

What is the difference between Senior Quantitative Researcher vs Quantitative Analyst?

AspectSenior Quantitative ResearcherQuantitative Analyst
Required CredentialsMaster's or PhD in Finance, Mathematics, or related field; strong programming skillsBachelor's or Master's in related fields; programming skills preferred
Work EnvironmentResearch-focused, often in finance, hedge funds, or asset management firmsData analysis, model development, often in finance or investment firms
Employer & Industry UsageUsed in hedge funds, asset managers, financial institutionsCommon in investment banks, asset management, financial services

The main difference is that Senior Quantitative Researchers typically lead complex research projects, develop new models, and have more advanced credentials, while Quantitative Analysts focus on data analysis, model implementation, and supporting trading strategies. Senior Quantitative Researchers often have more experience and responsibilities in research innovation.

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What cities are hiring for Senior Quantitative Researcher jobs? Cities with the most Senior Quantitative Researcher job openings:
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Senior Quantitative Researcher jobs near you
Infographic showing various Senior Quantitative Researcher job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $100,127 per year, or $48.1 per hour.
Senior Quantitative Researcher - Risk Modeling

Senior Quantitative Researcher - Risk Modeling

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Re-posted 29 days ago

Job description

Company Description
Swish Analytics is a sports analytics and trading company building the next generation of predictive sports analytics and exchange-based trading products. We believe that profitable trading is a challenge rooted in engineering, mathematics, and market expertise-not intuition. We're seeking team-oriented individuals with an authentic passion for quantitative trading who can execute in a fast-paced environment without sacrificing technical excellence.
As we expand our presence on betting exchanges, we're building infrastructure and strategies akin to those found in traditional financial markets. Our challenges are unique, and we hope you're comfortable in uncharted territory.
Role Overview
As a Senior Quantitative Researcher, you will own end-to-end research and production pipelines for one or more trading strategies. You'll lead research initiatives that generate alpha and improve execution quality, mentor junior researchers, and collaborate closely with our Trading desk to translate quantitative insights into profitable systematic strategies while maintaining rigorous risk management.
Core Responsibilities
  • Own end-to-end research and production pipelines for a strategy
  • Lead alpha research initiatives leveraging advanced statistical and machine learning techniques
  • Process and analyze high-frequency tick data, order book snapshots, and market microstructure signals with sub-millisecond latency requirements
  • Analyze price formation, market liquidity dynamics, and limit order book imbalances across electronic venues
  • Build and run Monte Carlo simulations to estimate P&L distributions, risk exposures, and portfolio dynamics
  • Develop, backtest, and optimize quantitative trading strategies with rigorous statistical validation
  • Interpret complex model outputs and communicate alpha generation mechanisms to portfolio managers
  • Write modular, clean, and efficient Python code; build custom analytics libraries and research frameworks
  • Lead design reviews and establish data quality and research reproducibility standards
  • Guide 1-2 junior researchers through project delivery and model development
  • Proactively engage with traders and infrastructure teams to clarify research objectives and resolve data dependencies

Risk Modeling
  • Design and maintain real-time risk monitoring systems across multi-asset portfolios
  • Build models for dynamic position sizing, portfolio optimization, and factor exposure management
  • Develop stress testing and scenario analysis frameworks for tail-risk events and regime changes
  • Collaborate with Trading and Risk Management to define VaR limits, leverage constraints, and implement automated risk controls

Requirements
  • Minimum of 5 years of experience in quantitative research, systematic trading, or statistical modeling
  • Master's degree in a quantitative discipline (Mathematics, Statistics, Physics, Computer Science, Financial Engineering) strongly preferred; PhD a plus
  • Expert-level Python skills; able to build production-grade research and trading systems
  • Strong SQL skills; experience with complex queries on tick databases and time-series datasets
  • Deep experience with Monte Carlo methods, stochastic calculus, and probabilistic modeling
  • Proven ability to develop, backtest, and deploy systematic trading strategies with demonstrable P&L
  • Experience processing high-frequency tick data and real-time market feeds
  • Familiarity with AWS or similar cloud infrastructure for large-scale backtesting and research
  • Track record of mentoring junior quantitative researchers
  • Excellent communication skills; ability to present complex quantitative research to portfolio managers and trading desks
  • Experience designing enterprise-grade risk management systems with real-time Greeks calculation
  • Strong understanding of factor models, correlation structure, concentration risk, and portfolio attribution

Nice to Have
  • Proficiency in Rust, C++, or other systems languages for performance-critical components
  • Experience with MLOps, model monitoring, and adaptive retraining pipelines for regime detection
  • Background in derivatives pricing, options market making, or volatility arbitrage
  • Familiarity with FIX protocol, Betfair or Matchbook API experience, and ultra-low-latency trading infrastructure

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks. Base salary is one hundred and fifty to two hundred and fifty thousand (plus bonus), depending on experience.
Department Trading Analytics Role Trading Data Science Locations San Francisco, CA - Remote Remote status Fully Remote

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