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Associate Quantitative Risk Analyst Jobs (NOW HIRING)

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

Design and improve analytical frameworks for VaR, Expected Shortfall, stress testing, backtesting ... Strengthen the quantitative underpinnings of the firm's market risk framework, including model ...

Expand Energy

Quantitative Risk Manager

Spring, TX

Design and improve analytical frameworks for VaR, Expected Shortfall, stress testing, backtesting ... Strengthen the quantitative underpinnings of the firm's market risk framework, including model ...

State Street Corporation

Quantitative Risk

Boston, MA · On-site

$104K - $180K/yr

Quantitative Risk (State Street Bank And Trust Company; Boston, Massachusetts ... This role will be part of the CMAO team focused on delivering modeling and analytics solutions to ...

Pavago

Risk Analyst

This role is responsible for building risk frameworks, conducting quantitative analysis, monitoring exposures, validating controls, and delivering actionable insights to leadership. The ideal ...

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How much do associate quantitative risk analyst jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for associate quantitative risk analyst in the United States is $40.49, according to ZipRecruiter salary data. Most workers in this role earn between $29.81 and $49.28 per hour, depending on experience, location, and employer.

What does a quantitative risk analyst do?

A quantitative risk analyst evaluates financial risks using mathematical models and statistical techniques to identify potential losses and inform decision-making. They analyze data, develop risk assessment tools, and often use programming languages like Python or R, as well as risk management software, to monitor and mitigate risks within organizations. Strong analytical skills and knowledge of finance and statistics are essential for this role.

What are some common challenges faced by Associate Quantitative Risk Analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

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

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

How much does a quant risk analyst make?

The average salary for a quantitative risk analyst is typically between $80,000 and $150,000 annually, depending on experience, location, and the firm. At firms like Morgan Stanley, salaries can vary based on seniority, with entry-level roles starting around $80,000 and more experienced analysts earning over $130,000, often supplemented by bonuses and benefits.

Is a quant analyst high paying?

A quantitative risk analyst typically earns a high salary compared to many other finance roles, especially with advanced skills in mathematics, programming, and data analysis. Compensation varies by industry, experience, and location but often includes bonuses and incentives due to the specialized nature of the work.

What is the salary of a quant risk analyst?

The average salary of a quantitative risk analyst typically ranges from $70,000 to $150,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with advanced skills in programming and risk modeling can earn higher compensation, often supplemented with bonuses and benefits.

What are Associate Quantitative Risk Analysts?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

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

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.
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Associate Quantitative Risk Analyst jobs near you
Infographic showing various Associate Quantitative Risk Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $84,210 per year, or $40.5 per hour.
Senior Quantitative Risk Analyst - BSA/AML

Senior Quantitative Risk Analyst - BSA/AML

M&T Bank

Buffalo, NY

$85K - $143K/yr

Full-time

Posted 16 days ago

M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 183 frontline employees who took The Breakroom Quiz

75th of 148 rated banks

Job description

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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