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Quantitative Analysis Jobs (NOW HIRING)

Fidelity Investments

Quantitative Analyst

Boston, MA · On-site

$100K - $200K/yr

The team's work includes risk modeling, portfolio construction analysis, the creation of smart beta ... The Role The Quantitative Taxable team within Quantitative Research group is responsible for ...

Fidelity Investments

Quantitative Analyst

Boston, MA

$100K - $200K/yr

The team's work includes risk modeling, portfolio construction analysis, the creation of smart beta ... The Role The Quantitative Taxable team within Quantitative Research group is responsible for ...

Next Step Systems

Quantitative Analyst

Northbrook, IL · On-site

Quantitative Analyst, Northbrook, IL - The Quantitative Analyst will assist in the research, design ... and analysis of economic and financial data. - Design, conduct, and administer studies of long ...

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How much do quantitative analysis jobs pay per year?

As of Jun 21, 2026, the average yearly pay for quantitative analysis in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Quantitative Analyst, you need strong mathematical, statistical, and analytical skills, typically supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with programming languages such as Python, R, or MATLAB, and familiarity with financial modeling software and data analysis tools are commonly required. Exceptional problem-solving abilities, attention to detail, and strong communication skills help set top performers apart. These skills are essential for developing robust models, accurately analyzing complex data, and effectively conveying insights to support data-driven decision making.

What does a quantitative analyst do?

A quantitative analyst, or quant, develops mathematical models to analyze financial data and inform investment decisions. They use programming languages like Python or R, and tools such as Excel and statistical software, to identify trends, assess risks, and optimize trading strategies in finance or related fields.

What is quantitative analysis?

Quantitative analysis is the use of mathematical and statistical methods to evaluate financial and business data. Professionals in this field analyze numerical data to identify trends, make forecasts, and support decision-making in areas such as finance, investment, and risk management. Quantitative analysts, often called 'quants,' use complex models and algorithms to solve problems and optimize strategies for organizations. Their work is critical in industries like banking, asset management, and insurance, where data-driven insights are essential.

What are some common challenges faced by professionals in Quantitative Analysis roles?

Quantitative Analysts often encounter challenges such as managing large and complex datasets, ensuring the accuracy and integrity of models, and adapting to rapidly changing market conditions. Collaboration with software engineers and traders is essential, as models must be both mathematically robust and practically implementable. Staying current with advancements in statistical methods and programming languages is also important, as the field evolves quickly and requires continuous learning.

What jobs use quantitative analysis?

Quantitative analysis is used in roles such as financial analysts, data scientists, risk managers, and investment analysts. These jobs involve analyzing numerical data, developing models, and using tools like Excel, SQL, or statistical software to inform decision-making in finance, marketing, or operations.

How much does a quantitative analyst get paid?

A quantitative analyst's salary varies based on experience, location, and industry, but typically ranges from $70,000 to over $150,000 annually. Senior roles or those in financial hubs can earn significantly higher, especially with advanced skills in programming, statistics, and financial modeling.

What job makes $10,000 a month without a degree?

In quantitative analysis, high-paying roles such as quantitative traders or algorithmic traders can earn $10,000 or more per month without a formal degree, especially if they have strong skills in programming, mathematics, and financial markets. Success in these roles often depends on experience, performance, and proprietary knowledge rather than formal education alone.
More about Quantitative Analysis jobs
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Quantitative Analysis jobs near you
Infographic showing various Quantitative Analysis job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Senior Manager Quantitative Analysis--Consumer Model Development

Senior Manager Quantitative Analysis--Consumer Model Development

First Citizens Bank

Atlanta, GA • Hybrid

Full-time

Posted 17 days ago

First Citizens Bank rating

7.6

Company rating: 7.6 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

79th of 141 rated banks

Job description

Overview

This is a hybrid role (if located in Atlanta, GA, Charlotte, NC or Raleigh, NC ) with the expectation that time working will regularly take place inside and outside of a company office. Three days a week in office. Open to remote in several markets for highly qualified candidate.

The Manager of Consumer Model development will lead a team of quantitative risk analysts responsible for developing, implementing, and maintaining credit risk models for the bank's consumer lending portfolio. This role serves as the tactical leader bridging strategy and execution, reporting directly to the Director of Risk Analytics & Modeling while providing hands-on leadership to junior team members. The position requires strong technical expertise combined with people management skills to ensure effective delivery of risk modeling solutions.


Responsibilities
  • Support the Director and lead the development, testing, and implementation of advanced credit risk models across consumer lending products including Credit Cards, and Auto Loans, Mortgages, and HELOCs, with focus on Credit Card and Auto portfolios.
  •  Execute the model development plan and ensure proper delivery. Serve as the owner of model documentation, and development and testing materials.
  •  Lead and mentor a team of model development professionals, fostering a culture of innovation and continuous improvement in risk modeling approaches.
  •  Oversee the model ongoing monitoring program. Review the monitoring results and explain the model performance to model users and management.
  •  Support the Director in response to model validation findings and oversee the implementation of remediation. 
  •  Collaborate with other modeling and analytical teams to continuously improve the process and gain efficiency. Drive the enhancement of risk management frameworks to meet evolving regulatory requirements, including CCAR and CECL compliance.
  •  Support the Director and partner with business leadership to translate complex risk analytics insights into actionable business strategies and policy recommendations.
  •  Establish and maintain relationships with regulatory bodies, external/internal auditors, model Risk Management and key stakeholders.
  •  Guide the development and implementation of new risk assessment methodologies and tools to improve the organization's risk management capabilities.
  •  Lead strategic initiatives to modernize risk analytics infrastructure and capabilities through adoption of advanced technologies and methodologies, including AI and other intelligent tools.

Qualifications

Bachelor's Degree and 6 years of experience in Financial, Statistical or Quantitative Analysis Experience, with at least 2 years management/lead experience OR High School Diploma or GED and 10 years of experience in Financial, Statistical or Quantitative Analysis Experience, with at least 2 years management/lead experience

Preferred Education: advanced degree, masters/PHD in quantitative field, ie mathematics, computer science, financial engineering

Preferred Area of Study: Quantitative or Statistical Analysis, Financial Engineering, Computer Science, Mathematics

Preferred Area of Experience: Banking, Financial Engineering, Computer Science

Preferred Qualifications:


• Ph.D. degree in Statistics, Mathematics, Finance, or related quantitative field
• At least 10 years of progressive experience in credit risk model development, with at least 3 years in a leadership role
• At least 3 years hands on experience in Credit Card loss forecasting model development or validation
• Hands on experience using Python, SAS, Tableau
• Hands on experience in model development and model development documentation
• Demonstrated experience in leading teams responsible for development and implementation of enterprise-wide risk models
• Strong understanding of regulatory requirements and experience in interactions with regulatory bodies
• Experience with CCAR and CECL
• Expert knowledge of statistical modeling, machine learning techniques, and risk analytics methodologies
• Proven track record of translating complex analytical insights into actionable strategy

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

#LI-Hybrid

Qualifications:

Bachelor's Degree and 6 years of experience in Financial, Statistical or Quantitative Analysis Experience, with at least 2 years management/lead experience OR High School Diploma or GED and 10 years of experience in Financial, Statistical or Quantitative Analysis Experience, with at least 2 years management/lead experience

Preferred Education: advanced degree, masters/PHD in quantitative field, ie mathematics, computer science, financial engineering

Preferred Area of Study: Quantitative or Statistical Analysis, Financial Engineering, Computer Science, Mathematics

Preferred Area of Experience: Banking, Financial Engineering, Computer Science

Preferred Qualifications:


• Ph.D. degree in Statistics, Mathematics, Finance, or related quantitative field
• At least 10 years of progressive experience in credit risk model development, with at least 3 years in a leadership role
• At least 3 years hands on experience in Credit Card loss forecasting model development or validation
• Hands on experience using Python, SAS, Tableau
• Hands on experience in model development and model development documentation
• Demonstrated experience in leading teams responsible for development and implementation of enterprise-wide risk models
• Strong understanding of regulatory requirements and experience in interactions with regulatory bodies
• Experience with CCAR and CECL
• Expert knowledge of statistical modeling, machine learning techniques, and risk analytics methodologies
• Proven track record of translating complex analytical insights into actionable strategy

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

#LI-Hybrid

Education:UNAVAILABLEEmployment Type: FULL_TIME

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