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Quantitative Risk Analyst Jobs in New York (NOW HIRING)

Everest Re Group

Risk Analyst I

Warren, NJ · Hybrid

$57K - $98K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Risk Management, Actuarial Science, Finance, Economics, Mathematics, Statistics, Data Analytics, Engineering, or a related quantitative discipline. * 1-3 years of experience in ...

Everest Insurance

Risk Analyst I

Warren, NJ · On-site

$57K - $98K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Risk Management, Actuarial Science, Finance, Economics, Mathematics, Statistics, Data Analytics, Engineering, or a related quantitative discipline. * 1-3 years of experience in ...

RQD * Clearing LLC

Junior Margin/Risk Analyst

New York, NY · On-site +1

$75K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Conduct regulatory compliance reviews and reporting. * Assist with quantitative risk assessments ... Excellent analytical skills with strong attention to detail; familiarity with Excel, VBA, SQL a ...

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All JobsQuantitative Risk Analyst JobsQuantitative Risk Analyst Jobs in New York

Quantitative Risk Analyst information

See New York salary details

$61.8K

$146.5K

$262.6K

How much do quantitative risk analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for quantitative risk 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 are some common challenges a quantitative risk analyst faces when integrating new data sources into risk models?

Quantitative Risk Analysts often encounter challenges related to data quality, consistency, and compatibility when integrating new data sources into risk models. Ensuring that the data is accurate, timely, and relevant requires rigorous validation and sometimes complex data cleaning processes. Additionally, analysts must adapt existing risk models to accommodate new variables, which may involve re-calibrating parameters or even restructuring parts of the model. Effective collaboration with IT and data engineering teams is essential to streamline data integration and maintain model reliability.

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

To thrive as a Quantitative Risk Analyst, you need strong analytical and mathematical skills, experience with statistical modeling, and typically a degree in finance, mathematics, statistics, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with risk management systems and financial databases are important technical requirements. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for explaining complex analyses to stakeholders. These skills are crucial for accurately identifying, measuring, and mitigating financial risks in dynamic market environments.

What is the difference between Quantitative Risk Analyst vs Credit Risk Analyst?

AspectQuantitative Risk AnalystCredit Risk Analyst
Required CredentialsDegree in finance, economics, or mathematics; certifications like FRM or CFADegree in finance, economics, or related; certifications like FRM or CFA often preferred
Work EnvironmentFinancial institutions, investment firms, risk management departmentsBanks, lending institutions, credit agencies
Employer & Industry UsageUsed across finance sectors for risk modeling and analysisPrimarily in banking and lending for assessing creditworthiness
Comparison Search IntentUnderstanding differences in risk analysis rolesDistinguishing credit-specific risk roles from broader risk analysis

While both roles involve risk assessment and require similar credentials, a Quantitative Risk Analyst focuses on modeling and analyzing various financial risks using quantitative methods across multiple risk types. In contrast, a Credit Risk Analyst specializes in evaluating creditworthiness and managing credit risk specifically within lending and banking sectors.

What is a quantitative risk analyst?

A Quantitative Risk Analyst is a professional who uses mathematical models, statistical techniques, and data analysis to assess and manage financial risks within an organization. They typically evaluate potential losses from market movements, credit defaults, or operational failures and help develop strategies to mitigate those risks. Their work is crucial in industries such as banking, investment, insurance, and asset management, where understanding and controlling risk is essential for financial stability and compliance. Quantitative Risk Analysts often work with complex financial instruments and large datasets, requiring strong analytical and programming skills.

What are the most commonly searched types of Quantitative Risk Analyst jobs in New York?

The most popular types of Quantitative Risk Analyst jobs in New York are:

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

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

What job categories do people searching Quantitative Risk Analyst jobs in New York look for?

The top searched job categories for Quantitative Risk Analyst jobs in New York are:

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

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

Quantitative Risk Analyst jobs near you
Infographic showing various Quantitative Risk Analyst job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $146,466 per year, or $70.4 per hour.

Senior Quantitative Risk Analyst - BSA/AML (Hybrid - see job descriptions for potential work loca...

M&T Bank

New York, NY • Hybrid

$85K - $143K/yr

Full-time

Posted 8 days ago

M&T Bank rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

79th of 171 rated banks

Job description

** Work Location/Arrangement: This is a hybrid position requiring in-office work four (4) days every week at an M&T office in Buffalo, NY, Bridgeport, CT, Baltimore, MD, Timonium, MD, Wilmington, DE or New York, NY.

Overview

This position supports the development of statistical and machine learning models within a regulated environment. The role contributes to key components of the model development lifecycle-including data preparation, model development, testing/validation support, implementation, and monitoring-while working closely with senior modelers to deliver analytically sound and well-documented solutions. Development work is performed using both Python and SAS.

Primary Responsibilities

  • Support the design, development, testing, implementation, and monitoring of statistical and machine learning models
  • Prepare, transform, and analyze large datasets (e.g., transactions, customer behavior, entity data)
  • Partner with senior team members to translate business problems into analytical approaches
  • Contribute to model documentation, including methodology, assumptions, and monitoring frameworks
  • Develop and maintain analytical code using Python and/or SAS
  • Assist in model performance monitoring and identification of model issues or limitations
  • Support model validation, audit, and regulatory review processes
  • Collaborate with stakeholders across EDD, FIU, Technology, and Model Risk Management
  • Ensure adherence to internal controls and regulatory expectations
  • Provide guidance to junior analysts where appropriate
  • Understand and adhere to the Company's risk and regulatory standards, policies and controls in accordance with the Company's Risk Appetite. Identify risk-related issues needing escalation to management.
  • Promote an environment that supports belonging and reflects the M&T Bank brand.
  • Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
  • Complete other related duties as assigned.

Scope of Responsibilities

Works under general guidance from more senior quantitative risk managers. Responsible for independent execution of defined analytical tasks and contributing to model development efforts. Builds technical expertise in AML modeling and governance.

Education and Experience Required

  • Bachelor degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline,
  • OR in lieu of degree A combined minimum of 7 years higher education and/or work experience to include a minimum of 3 years relevant experience.
    -OR-
  • Master's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, with minimum of 1 year relevant experience,
    OR in lieu of degree,
  • A combined minimum of 7 years higher education and/or work experience to include a minimum of 1 year relevant experience.
  • Minimum of 3 years relevant experience, Banking or Financial Services experience.

Preferred

  • Master's degree in a quantitative discipline
  • Experience in banking, financial services, or AML/BSA
  • Exposure to model validation or model risk management
  • Familiarity with machine learning techniques
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $85,800.00 - $143,000.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBuffalo, New York, United States of America

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