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Quantitative Modeling Jobs in New York (NOW HIRING)

AVP-Analytics & Quantitative Modeling (14274) At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment ...

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Quantitative Developer

Manhattan, NY · On-site

$130 - $160/hr

Engineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program ...

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Quantitative Modeling information

See New York salary details

$107.2K

$185.7K

$283.9K

How much do quantitative modeling jobs pay per year?

As of Aug 7, 2026, the average yearly pay for quantitative modeling in New York is $185,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,100.00 and $217,700.00 per year, depending on experience, location, and employer.

What are typical daily tasks and projects for someone in a quantitative modeling role?

In a Quantitative Modeling position, your daily activities usually include analyzing large datasets, building and validating predictive models, and developing algorithms to solve business or financial problems. You might spend time coding, running simulations, and interpreting model outputs to inform strategy or risk assessment. Collaboration is common—you'll often work with data scientists, business analysts, or subject matter experts to refine models and ensure they're aligned with organizational goals. The work is intellectually stimulating and fast-paced, with opportunities to see your analytical insights directly impact decision-making.

What is a quantitative modeling?

A Quantitative Modeling job involves using mathematical, statistical, and computational techniques to analyze data and construct models that help businesses make informed decisions. Professionals in this field work in finance, risk management, economics, and other industries to develop predictive models, optimize strategies, and assess uncertainties. They often use programming languages like Python, R, or MATLAB, along with machine learning and statistical methods, to solve complex problems.

What are the key skills and qualifications needed to thrive in the quantitative modeling position, and why are they important?

To excel in Quantitative Modeling, a strong foundation in mathematics, statistics, and data analysis is essential, often complemented by a degree in a quantitative field such as mathematics, finance, engineering, or physics. Proficiency in programming languages like Python, R, MATLAB, or statistical software, as well as familiarity with data visualization tools and financial modeling certifications (such as CFA or FRM), is highly valued. Effective quantitative modelers possess strong problem-solving abilities, attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. These skills enable accurate, data-driven decision-making and the creation of robust predictive models in business, finance, or technology sectors.

What are the most commonly searched types of Quantitative Modeling jobs in New York? The most popular types of Quantitative Modeling jobs in New York are:
What cities in New York are hiring for Quantitative Modeling jobs? Cities in New York with the most Quantitative Modeling job openings:
Infographic showing various Quantitative Modeling job openings in New York as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $185,689 per year, or $89.3 per hour.

AVP-Analytics & Quantitative Modeling

Moody

Manhattan, NY • On-site

$159.20 - $230.90/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Let's begin! AVP-Analytics & Quantitative Modeling (14274)

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

Skills and Competencies

  • Strong understanding of quantitative modelling principles and best practices, including model design, calibration, performance assessment and implementation
  • 5+ years of experience in quantitative modelling, statistical analysis, model development, model validation or related analytical roles within financial services
  • Experience applying statistical, econometric or machine learning techniques to solve complex analytical problems
  • Proficiency in programming languages or analytical softwares, such as MATLAB, Python, R, VBA or C#
  • Familiarity with structured finance, credit risk modelling or rating methodologies is preferred
  • Excellent written and verbal communication skills, with the ability to explain complex quantitative concepts clearly to diverse audiences
  • Strong analytical, organizational and problem-solving skills with careful attention to detail and the ability to manage multiple priorities
  • Self-motivated and collaborative team player with a continuous learning mindset and a willingness to explore new analytical approaches and technologies
  • Demonstrated proficiency in artificial intelligence concepts, proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
Education
  • PhD or Master's degree in Finance, Financial Engineering, Mathematical Finance, Economics, Mathematics, Statistics, Physics, Data Science, Engineering, Computer Science or a related quantitative field
Responsibilities

The AVP-Analytics & Modeling contributes to the development, calibration and enhancement of quantitative models and analytical tools that support Moody's Ratings methodologies across diverse asset classes.

  • Lead the development, calibration, maintenance and enhancement of quantitative credit rating models, scorecards and related analytical tools
  • Apply statistical, econometric and mathematical techniques to support model design, calibration, validation and performance assessment
  • Partner with methodology, analytical and quantitative teams to understand business needs and translate them into robust analytical solutions
  • Contribute to methodology development projects across Structured Finance and Fundamental asset classes by providing quantitative analysis and modelling expertise
  • Prepare clear and comprehensive documentation that supports transparency, reproducibility and compliance with model governance, validation and verification requirements
  • Conduct research on new modelling approaches, data sources, Artificial Intelligence applications and emerging analytical techniques that can improve model quality and effectiveness
  • Author and co-author analytical publications, white papers and research materials that communicate modelling approaches and analytical insights to internal and external audiences
  • Provide guidance and technical support to junior colleagues and contribute to knowledge sharing across the organization
About the Team

Our MIS Credit Strategy and Standards (CSS) team is responsible for advancing quantitative modelling, data analysis and innovation — including Artificial Intelligence — to strengthen credit analytics and support the transparent communication of the analytical foundations that underpin Moody's Ratings. The team plays a critical role in developing and maintaining robust, consistent and fit-for-purpose methodologies across all rating sectors. By joining our team, you will be part of high-impact work that shapes the next generation of credit risk analytical capabilities and contributes to AI-driven innovation that is transforming how risk is understood and communicated on a global scale.

For US-based roles only: the anticipated hiring base salary range for this position is$159,200.00-$230,900.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status,sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com . This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

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