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Quantitative Modeling Analyst Jobs in New York (NOW HIRING)

AVP-Analytics & Quantitative Modeling

Manhattan, NY ยท On-site

$159.20 - $230.90/hr

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 ...

Quantitative Model Analyst

Morristown, NJ ยท On-site

$122K - $192K/yr

Perform quantitative and qualitative analyses of financial models, including the capital stress ... One year of experience performing financial analysis, financial modeling, and statistical analysis.

Quantitative Analyst

Jersey City, NJ ยท On-site

$75 - $85/hr

The Data Scientist / Data Modeler / Quantitative Analyst will play a critical role in advancing the Insider Risk program's detection, scoring, and decisioning capabilities. This role is responsible ...

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Quantitative Modeling Analyst information

See New York salary details

$61.8K

$146.5K

$262.6K

How much do quantitative modeling analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for quantitative modeling analyst in New York is $146,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $159,200.00 per year, depending on experience, location, and employer.

What does a quantitative modeling analyst do?

A Quantitative Modeling Analyst uses mathematical models and statistical techniques to analyze data and solve complex problems in fields like finance, risk management, and business strategy. They develop and validate models to forecast outcomes, assess risks, and support decision-making. Their work often involves programming, data analysis, and collaborating with other teams to interpret results and improve business performance.

What are the key skills and qualifications needed to thrive as a quantitative modeling analyst?

To thrive as a Quantitative Modeling Analyst, you need strong quantitative skills, a background in mathematics, statistics, or finance, and typically a relevant degree such as in mathematics, statistics, economics, or engineering. Proficiency with data analysis tools and programming languages like Python, R, MATLAB, and experience with statistical modeling software are commonly required. Analytical thinking, attention to detail, and effective communication skills help you stand out in translating complex data into actionable insights. These skills are crucial for accurately building models, interpreting results, and supporting data-driven decision-making in finance or business environments.

What are some of the typical challenges quantitative modeling analysts face when collaborating with cross-functional teams?

Quantitative Modeling Analysts often work closely with teams from finance, IT, and business operations, which can present challenges such as communicating complex mathematical concepts to non-technical stakeholders and aligning model outputs with business objectives. Bridging the gap between technical model development and practical business application requires strong communication and collaboration skills. Additionally, analysts may need to adapt their models based on feedback from these teams, ensuring solutions are both accurate and actionable within operational constraints.

What is the difference between Quantitative Modeling Analyst vs Quantitative Analyst?

AspectQuantitative Modeling AnalystQuantitative Analyst
Required CredentialsDegree in Finance, Mathematics, or related field; often certifications like CFA or CQFSimilar credentials; often holds advanced degrees and certifications
Work EnvironmentFinancial institutions, hedge funds, asset management firmsFinancial firms, investment banks, asset managers
Primary FocusDeveloping and maintaining complex financial modelsAnalyzing data to inform investment decisions and risk management
Common UsageUsed when emphasizing model development and quantitative techniquesUsed for broader data analysis and investment strategy

While both roles require strong quantitative skills and similar credentials, the Quantitative Modeling Analyst primarily focuses on building and refining financial models, whereas the Quantitative Analyst often handles data analysis to support investment decisions. The roles overlap but differ in their core responsibilities within financial organizations.

What are popular job titles related to Quantitative Modeling Analyst jobs in New York?

For Quantitative Modeling Analyst jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Quantitative Modeling Analyst jobs?

Cities in New York with the most Quantitative Modeling Analyst job openings:

Infographic showing various Quantitative Modeling Analyst job openings in New York as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $146,466 per year, or $70.4 per hour.

AVP-Analytics & Quantitative Modeling

Moody

Manhattan, NY โ€ข On-site

$159.20 - $230.90/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

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

At Moody's, we unite the brightest minds to turn todayโ€™s risks into tomorrowโ€™s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they areโ€”with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moodyโ€™s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, weโ€™re advancing AI to move from insight to actionโ€”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 โ€” including Artificial Intelligence โ€” 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. Moodyโ€™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.

Moodyโ€™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. Moodyโ€™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 Moodyโ€™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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