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Quantitative Finance Jobs in Rochester, NY (NOW HIRING)

Bachelor's degree in Finance, Accounting, or related field, with an emphasis in quantitative methods, statistical modeling, and data science. * 3+ years of experience in financial analysis, business ...

CFA - Level 1 Tutor

Rochester, NY · Remote

$18 - $40/hr

Skilled at teaching financial statement analysis, quantitative problem solving, and ethics application for CFA Level 1 examination. Guides students through computing financial ratios, applying ...

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Quantitative Finance information

See Rochester, NY salary details

$30.6K

$89.4K

$144.1K

How much do quantitative finance jobs pay per year?

As of Aug 30, 2026, the average yearly pay for quantitative finance in Rochester, NY is $89,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $117,400.00 per year, depending on experience, location, and employer.

What is quantitative finance?

Quantitative finance is a field that uses mathematical models, statistics, and computational techniques to analyze financial markets and securities. Professionals in this area, known as 'quants,' develop algorithms and models to price assets, manage risk, and optimize investment strategies. Quantitative finance plays a critical role in investment banks, hedge funds, asset management firms, and financial technology companies. The field requires strong skills in mathematics, programming, and finance.

What are the key skills and qualifications needed to thrive in quantitative finance?

To thrive in Quantitative Finance, you need strong mathematical, statistical, and analytical skills, typically supported by an advanced degree in mathematics, finance, engineering, or a related field. Proficiency with programming languages like Python, R, or C++, as well as experience with financial modeling and platforms such as MATLAB or Bloomberg Terminal, is highly valued. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for collaborating on complex financial projects. These skills enable professionals to develop and implement sophisticated models that drive informed investment decisions and risk management in high-stakes financial environments.

What are some common challenges faced by professionals in quantitative finance roles, and how can they be addressed?

Professionals in quantitative finance often encounter challenges such as managing large and complex data sets, staying updated with rapidly evolving financial models, and ensuring accurate risk assessment in volatile markets. Collaboration with technology and trading teams is crucial to develop robust algorithms and implement models effectively. Continuous learning and adaptability are key, as the field demands keeping pace with new programming languages, statistical methods, and regulatory changes.

What is the difference between Quantitative Finance vs Quantitative Analysis?

AspectQuantitative FinanceQuantitative Analysis
Required CredentialsDegree in Finance, Mathematics, or related fields; often CFA or FRM certificationsDegree in Mathematics, Statistics, or Finance; certifications like CFA are common
Work EnvironmentFinancial institutions, hedge funds, investment banksAsset management firms, banks, trading desks
Employer & Industry UsageFocuses on developing trading strategies, risk management, and financial modelingAnalyzes data to inform trading decisions, risk assessment, and investment strategies

Quantitative Finance and Quantitative Analysis share overlapping skills and credentials, but Quantitative Finance emphasizes developing financial models and trading strategies, while Quantitative Analysis focuses on data analysis to support investment decisions. Both roles are vital in finance but serve different primary functions.

What jobs can you get with quantitative finance?

With a background in quantitative finance, common roles include quantitative analyst, risk manager, financial engineer, algorithmic trader, and data scientist. These positions typically require strong skills in mathematics, programming, and financial modeling, often utilizing tools like Python, R, or MATLAB, and may require relevant certifications such as CFA or FRM.

What are the most commonly searched types of Quantitative Finance jobs in Rochester, NY?

The most popular types of Quantitative Finance jobs in Rochester, NY are:

What are popular job titles related to Quantitative Finance jobs in Rochester, NY?

For Quantitative Finance jobs in Rochester, NY, the most frequently searched job titles are:

What cities near Rochester, NY are hiring for Quantitative Finance jobs?

Cities near Rochester, NY with the most Quantitative Finance job openings:

Infographic showing various Quantitative Finance job openings in Rochester, NY as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $89,372 per year, or $43 per hour.

Quantitative Developer - Data Strategies Group

Citadel LLC

Rochester, NY • On-site

$200 - $250/hr

Other

Medical, Life, Retirement

Posted 24 days ago


Job description

About DSG

The Data Strategies Group (DSG) is a central quantitative research team that works alongside trading teams at the forefront of alternative data, AI/ML research, and quantitative modeling. As a Quantitative Developer in DSG, you will work directly with quantitative researchers and investment teams to apply our insights to critical investment problems across Citadel’s investment strategies.

Key Responsibilities
  • Innovation: Stay at the frontier of quantitative methods, contributing to the advancement of tools, libraries, and best practices for quantitative development across Citadel.
  • Research Enablement: Partner with quantitative researchers to design knowledge graphs, set up efficient infrastructure and research workflow, and optimize production code.
  • Custom Tools Development and Product Mindset: Design and build efficient custom tools ("prototypes") to quickly deliver research insights from alternative data to investment teams, aligned to the needs of those teams.
  • Data Infrastructure: Build and maintain high-performance pipelines for alternative datasets, ensuring quality, timeliness, and reliability.
  • Entrepreneurship: Act as an intellectual entrepreneur and owner by proactively creating novel tools and developing innovative approaches that have the potential to create commercial impact.
What We Offer

The opportunity to work at the forefront of quantitative finance with access to the world’s most comprehensive and exclusive alternative data and world-class computing infrastructure.

A culture of learning among some of the most talented and accomplished investment professionals, researchers, and developers in the world. Our colleagues are empowered to test their ideas and develop solutions that accelerate their growth and drive real impact.

In accordance with applicable law, the base salary range for this role is $200,000 to $250,000.

In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs.

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