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Quantitative Finance Jobs (NOW HIRING)

Bank of America

Sr. Quantitative Finance Analyst

Atlanta, GA · On-site

$82K - $102K/yr

The Senior Quantitative Financial Analyst interacts with a wide variety of stakeholders including other loss forecast associates, model operations, model developers, Allowance, Finance, Enterprise ...

Bank of America

Sr. Quantitative Finance Analyst

Newark, NJ · On-site

$89K - $111K/yr

The Senior Quantitative Financial Analyst interacts with a wide variety of stakeholders including other loss forecast associates, model operations, model developers, Allowance, Finance, Enterprise ...

Bank of America

Sr. Quantitative Finance Analyst

Chicago, IL · On-site

$88K - $109K/yr

The Senior Quantitative Financial Analyst interacts with a wide variety of stakeholders including other loss forecast associates, model operations, model developers, Allowance, Finance, Enterprise ...

Bank of America

Sr. Quantitative Finance Analyst

Newark, NJ · On-site

$89K - $111K/yr

The Senior Quantitative Financial Analyst interacts with a wide variety of stakeholders including other loss forecast associates, model operations, model developers, Allowance, Finance, Enterprise ...

Deloitte

Also Consultant Quantitative Finance / Financial Engineering (m/w/d) nutzt du deine quantitativen Fahigkeiten und entwickelst Losungsansatze fur aktuelle Herausforderungen und Chancen unserer ...

New

Bank of America

Sr. Quantitative Finance Manager

Chicago, IL · On-site

$112K - $153K/yr

This job is responsible for directing a team of finance managers to develop or validate quantitative analytics and models for specific business units or risk types. Job expectations include directing ...

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Quantitative Finance information

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$31K

$90.6K

$146K

How much do quantitative finance jobs pay per year?

As of Sep 1, 2026, the average yearly pay for quantitative finance in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 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.
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Quantitative Finance jobs near you
Infographic showing various Quantitative Finance job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Machine Learning Quantitative Researcher - eFinancialCareers

eFinancialCareers

Manhattan, NY • On-site

Full-time

Re-posted 15 hours ago

Job description

A high-performing research team comprised of some of the industry's brightest researchers, scientists, and engineers is hiring! We are a team comprised of individuals from the top research laboratories, and Big Tech companies in applying cutting-edge machine learning techniques to quantitative finance. And, no prior quant finance experience is required!

We believe that quantitative finance principles can be taught, and are focused on identifying top research talent within the following verticals, who are open to working within quant finance:

  1. Machine Learning
  2. Quantum Computing
  3. Algorithm Development
  4. Optimization
  5. Natural Language Processing
  6. LLMs
  7. Artificial Intelligence
  8. Mathematics, Statistics, or Physics

If interested in learning more about this opportunity, apply in now!

Apply