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Quantitative Risk Jobs (NOW HIRING)

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64K - $105K/yr

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

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA

$64K - $105K/yr

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

corpay

Quantitative Risk Analyst

Salt Lake City, UT · Hybrid

What We Need Corpay is looking for a Quantitative Risk Analyst to join our cross-border TMS Analytics team. In this role, you will sit behind Corpay's proprietary Treasury Management System (TMS ...

corpay

Quantitative Risk Analyst

Salt Lake City, UT · Hybrid

What We Need Corpay is looking for a Quantitative Risk Analyst to join our cross-border TMS Analytics team. In this role, you will sit behind Corpay's proprietary Treasury Management System (TMS ...

Corpay

Quantitative Risk Analyst

Salt Lake City, UT · On-site

What We Need Corpay is looking for a Quantitative Risk Analyst to join our cross-border TMS Analytics team. In this role, you will sit behind Corpay's proprietary Treasury Management System (TMS ...

Ryan Specialty

Quantitative Risk Modeling Lead

Position Summary As a Quantitative Risk Modeling Led in the Ryan Credit Solutions department at Ryan Specialty, you will leverage your actuarial and quantitative expertise to shape the underwriting ...

Aflac

AVP, Quantitative Risk Analyst

Manhattan, NY · On-site

$140K - $185K/yr

AVP Quantitative Risk Analyst Salary Range: $140,000 to $185,000 Job Posting End Date: July 10, 2026 We've Got You Under Our Wing We are the duck. We develop and empower our people, cultivate ...

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Quantitative Risk information

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$31K

$90.6K

$146K

How much do quantitative risk jobs pay per year?

As of Jul 4, 2026, the average yearly pay for quantitative risk in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

How do Quantitative Risk professionals typically collaborate with other departments within a financial institution?

Quantitative Risk professionals frequently work with various teams such as trading, portfolio management, compliance, and IT. This collaboration helps ensure that risk models accurately reflect real-world exposures and regulatory standards. Effective communication is key, as Quantitative Risk staff must translate complex data and models into actionable insights for non-technical stakeholders. Regular cross-departmental meetings and project-based collaborations are common, promoting a dynamic and integrated work environment.

What is the difference between Quantitative Risk vs Quantitative Analyst?

AspectQuantitative RiskQuantitative Analyst
Primary FocusAssessing and managing financial risks using quantitative methodsDeveloping models and strategies to analyze financial data and inform investment decisions
Required CredentialsOften requires risk management certifications (FRM, PRM), advanced degrees in finance, mathematics, or statisticsTypically requires degrees in finance, economics, mathematics, or related fields; certifications like CFA may be common
Work EnvironmentFinancial institutions, risk management departments, banksInvestment firms, hedge funds, banks, financial services companies

Quantitative Risk professionals focus on identifying and mitigating financial risks through specialized models, while Quantitative Analysts develop analytical models to support trading, investment, and financial decision-making. Both roles require strong quantitative skills and often similar educational backgrounds, but their core objectives differ: risk management versus financial analysis and strategy development.

What is a Quantitative Risk Analyst?

A Quantitative Risk Analyst is a finance professional who uses mathematical models and statistical techniques to assess and manage financial risks for organizations, particularly in banking, investment, and insurance sectors. They analyze data, develop risk models, and help companies make informed decisions to minimize potential losses. Their work involves programming, data analysis, and communicating complex risk scenarios to stakeholders. Quantitative Risk Analysts play a crucial role in ensuring that organizations remain financially stable and compliant with regulatory requirements.

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

To thrive as a Quantitative Risk Analyst, you need strong analytical skills, expertise in statistics and mathematics, and a relevant degree such as finance, mathematics, or engineering. Familiarity with statistical software (such as R, Python, or SAS), risk modeling tools, and industry certifications like FRM or CFA is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting strategic decisions, and ensuring the financial stability of organizations.
More about Quantitative Risk jobs
What cities are hiring for Quantitative Risk jobs? Cities with the most Quantitative Risk job openings:
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What states have the most Quantitative Risk jobs? States with the most job openings for Quantitative Risk jobs include:
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Quantitative Risk jobs near you
Infographic showing various Quantitative Risk job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 9% Part Time, and 1% Temporary. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.
Quantitative Risk Analyst

Quantitative Risk Analyst

WSFS Bank

Philadelphia, PA • On-site

$64K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 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 SR11-7 guidelines. In addition to responsibilities on individual modeling projects this role will be expected to work on ad-hoc 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.

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