1

Quantitative Risk Manager Jobs (NOW HIRING)

Key Responsibilities: * Assist the Quantitative Risk Manager in constructing a Credit Decision Scorecards and statistically based credit risk modeling strategies based on quantitative modeling ...

Key Responsibilities: * Assist the Quantitative Risk Manager in constructing a Credit Decision Scorecards and statistically based credit risk modeling strategies based on quantitative modeling ...

You will manage client data workflows, maintain and troubleshoot Python-based automations, and ... How We Work As a Quantitative Risk Analyst you will be expected to work in a hybrid environment.

You will manage client data workflows, maintain and troubleshoot Python-based automations, and ... How We Work As a Quantitative Risk Analyst you will be expected to work in a hybrid environment.

next page

Showing results 1-20

Quantitative Risk Manager information

See salary details

$51.5K

$111.6K

$170K

How much do quantitative risk manager jobs pay per year?

As of Jul 11, 2026, the average yearly pay for quantitative risk manager in the United States is $111,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What can I do with a quantitative risk management degree?

A degree in quantitative risk management prepares individuals for roles such as risk analyst, risk manager, or quantitative analyst in finance, insurance, or consulting firms. These roles involve assessing and modeling financial risks using statistical tools, programming languages like Python or R, and risk management frameworks. Professionals in this field often work with regulatory compliance and may pursue certifications like FRM or PRM.

What is the salary of a quant risk manager?

A quantitative risk manager's salary typically ranges from $100,000 to $200,000 annually, with higher compensation often associated with experience, advanced degrees, and certifications such as FRM or CFA. In addition to base salary, bonuses and performance incentives can significantly increase total compensation in this role.

What does a quantitative risk manager do?

A quantitative risk manager analyzes financial data and models to identify, measure, and manage risks within an organization. They use statistical techniques, programming skills, and risk management tools to develop strategies that minimize potential losses and ensure regulatory compliance.

How does a Quantitative Risk Manager typically collaborate with other departments within a financial institution?

Quantitative Risk Managers work closely with teams such as trading, compliance, IT, and senior management to identify, measure, and mitigate financial risks. They often translate complex quantitative models into actionable insights for non-technical stakeholders and facilitate the integration of risk metrics into daily decision-making processes. Collaboration is essential for ensuring that risk assessments align with business objectives and regulatory requirements, often requiring regular cross-functional meetings and clear communication.

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

To thrive as a Quantitative Risk Manager, you need strong analytical abilities, a deep understanding of statistics and financial mathematics, and typically an advanced degree in finance, mathematics, or a related field. Proficiency in programming languages like Python or R, experience with risk modeling software, and certifications such as FRM or CFA are highly valuable. Exceptional problem-solving, communication, and collaboration skills help you convey complex risk metrics to stakeholders and work effectively in cross-functional teams. These skills ensure accurate risk assessments, regulatory compliance, and informed decision-making in dynamic financial environments.

How much do quant risk managers make?

Quantitative risk managers typically earn between $100,000 and $200,000 annually, with senior roles and those in major financial centers earning higher salaries. Compensation often includes bonuses and benefits, and strong skills in mathematics, programming, and risk modeling are essential for higher-paying positions.

What is a Quantitative Risk Manager?

A Quantitative Risk Manager is a professional who uses mathematical models, statistical analysis, and quantitative techniques to identify, measure, and manage financial risks within an organization. They often work in banks, investment firms, or insurance companies to analyze market, credit, and operational risks. Their responsibilities include developing risk models, monitoring risk exposures, and advising senior management on risk mitigation strategies. They play a key role in ensuring that organizations make informed decisions and comply with regulatory requirements.

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

AspectQuantitative Risk ManagerQuantitative Analyst
Primary FocusAssessing and managing risk exposure across financial portfoliosDeveloping models and algorithms for investment strategies
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like FRM or CFADegrees in finance, mathematics, or statistics; often pursuing CFA or similar
Work EnvironmentFinancial institutions, risk management departmentsInvestment firms, hedge funds, banks
Key SkillsRisk assessment, regulatory knowledge, quantitative modelingData analysis, programming, financial modeling

While both roles involve quantitative skills and financial knowledge, Quantitative Risk Managers focus on identifying and mitigating risks within organizations, whereas Quantitative Analysts primarily develop models to inform investment decisions. Understanding these differences helps professionals choose the right career path or job search focus.

More about Quantitative Risk Manager jobs
What cities are hiring for Quantitative Risk Manager jobs? Cities with the most Quantitative Risk Manager job openings:
What are the most commonly searched types of Quantitative Risk jobs? The most popular types of Quantitative Risk jobs are:
What states have the most Quantitative Risk Manager jobs? States with the most job openings for Quantitative Risk Manager jobs include:
What job categories do people searching Quantitative Risk Manager jobs look for? The top searched job categories for Quantitative Risk Manager jobs are:

Quantitative Risk Analyst

Wsfsbank

Philadelphia, PA

$64K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Job Description

NewLane Finance is seeking an individual to assist the credit and risk modeling and analytics function using data to advance credit risk behavior and quantification of these risk and return tradeoffs through the deployment of models and algorithms to optimize such strategies. This role will be responsible for providing analytical/quantitative input to help develop, implement, and monitor the build of complex commercial small business Expected Default (ED) and Probability of Default (PD) credit default models.

The successful candidate will use their business analysis, process, and quantitative knowledge to ensure business intent is matched with modeling outcome, and document development decisions under SR117 guidelines. In addition to responsibilities on individual modeling projects this role will be expected to work on adhoc projects as needed. Communicating model mechanics and articulating nuances to leadership will be an important aspect of the role. This is a great opportunity for someone who is a modeler/statistician/data analyst/coder (or a combination) with experience in commercial small business credit analysis.

Key Responsibilities:

  • Assist the Quantitative Risk Manager in constructing a Credit Decision Scorecards and statistically based credit risk modeling strategies based on quantitative modeling methods (e.g., good / bad definition, performance sample windows, sample size and exclusions).
  • Assist in developing and implementing a framework for data collection, processing and analyzing customer and 3rd party data (e.g., PayNet, D&B, consumer credit bureaus) for implementing credit risk strategies
  • Plan and execute self-driven analytics on large data sets (structured and unstructured data) using next generation technologies, prepare analysis and reports to support discussions on key analytics and model aspects to drive decision making
  • Validate credit default rates from portfolio attributes (e.g., delinquencies, EOD, loss curves, dealer performance) and make recommendations on credit model and policies
  • Work with sales management on risk-based pricing strategies optimizing dealer conversion rates and profitability.
  • Oversight of credit data mart used for reporting and portfolio performance monitoring.
  • Supporting ongoing and future projects working with the senior team.
  • Ability to create visualizations of data and/or quantitative information for management decision-making
  • Support building and enhancing procedures and model documentation in compliance with regulatory guidance as well as the Bank's model risk policy
  • Maintain current/develop new analytical reports and presentations for senior management, executive committees, and regulatory exams

Experience:

  • Bachelor's degree in Mathematics/Statistics, Operations Research, Economics, Finance, or other quantitative discipline; or in lieu of a degree, four (4) plus years' experience in Risk, Finance, Consumer Lending
  • Three (3) plus years of commercial small business credit modeling experience.
  • Two (2) plus years of experience in Consumer Lending statistical modeling/analytics, preferably related to ALL and/or Loss Forecasting modeling for credit cards.
  • Two (2) plus years in coding with Python, PySpark or other equivalent language within the past Five (5) years

Desired Characteristics:

  • Demonstrated experience with SAS and other statistical methods.
  • Proven decision-making role constructing credit models in a regulated environment
  • Strong quantitative and analytical skills in statistical analysis and data science best practices
  • Strong communication and partnering skills

Salary Range:

$64,491.00 - $105,949.50

Individual base pay may vary on additional factors such as the candidate's experience, job-related skills, relevant education, geographic location, and other specific business and organizational needs.

In addition to base salary, WSFS Financial Corporation (WSFS) and its subsidiaries may offer eligible Associates discretionary and formula-based incentive and retention awards. WSFS provides a competitive benefits package, which includes medical, dental, and vision coverage; a 401(k) plan; life, accident, and disability insurance; flexible spending accounts (FSAs) and health savings accounts (HSAs); and wellness programs. Additional benefits may include paid parental leave, military leave, vacation and other paid time off, sick leave in accordance with applicable state laws, and paid holidays. Benefit offerings are subject to eligibility requirements, legal limitations, and may vary based on an Associate's location and employment status. For more information about Associate benefits, please visit https://www.wsfsbank.com/about/careers/

WSFS Bank is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the WSFS Bank Careers website or submission process, please contact us via email at careers@wsfsbank.com.

WSFS is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.