ZipRecruiter

Log In

1

Senior Quantitative Risk Analyst Jobs in Pennsylvania

Wsfs Financial

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64.49K - $105.95K/yr

... business credit analysis. Key Responsibilities: * Assist the Quantitative Risk Manager in ... Supporting ongoing and future projects working with the senior team. * Ability to create ...

Wsfsbank

Quantitative Risk Analyst

Philadelphia, PA

$64.49K - $105.95K/yr

... business credit analysis. Key Responsibilities: * Assist the Quantitative Risk Manager in ... Supporting ongoing and future projects working with the senior team. * Ability to create ...

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64.49K - $105.95K/yr

... business credit analysis. Key Responsibilities: * Assist the Quantitative Risk Manager in ... Supporting ongoing and future projects working with the senior team. * Ability to create ...

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA

$64.49K - $105.95K/yr

... business credit analysis. Key Responsibilities: * Assist the Quantitative Risk Manager in ... Supporting ongoing and future projects working with the senior team. * Ability to create ...

Chubb

Senior Risk Analyst

Philadelphia, PA

... fill the position of Senior Risk Analyst.This position is with the Global Enterprise Risk ... Analyze and interpret quantitative and qualitative data to identify trends, patterns, and emerging ...

Vangard, Inc.

Investment Risk Analyst

Malvern, PA · On-site

Presents thorough, clear, and insightful analysis to senior leaders, portfolio managers, and ... markets, quantitative drivers, and general investment themes in order to bring an informed ...

Vanguard Group

Investment Risk Analyst

Malvern, PA · On-site

Presents thorough, clear, and insightful analysis to senior leaders, portfolio managers, and ... markets, quantitative drivers, and general investment themes in order to bring an informed ...

MIGSO-PCUBED

PA

Conduct qualitative and quantitative risk analysis, including Monte Carlo simulations * Support the ... Build strong relationships with project teams, risk owners, contractors, and senior stakeholders

next page

Showing results 1-20

People also search for

All JobsSenior Quantitative Risk Analyst JobsSenior Quantitative Risk Analyst Jobs in Pennsylvania

Senior Quantitative Risk Analyst information

See Pennsylvania salary details

$53.6K

$110.1K

$142.8K

How much do senior quantitative risk analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for senior quantitative risk analyst in Pennsylvania is $110,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $137,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Quantitative Risk Analyst, you need advanced quantitative analysis skills, a strong background in statistics, mathematics, or finance, and typically a relevant graduate degree. Proficiency in programming languages such as Python, R, or SAS, as well as experience with risk modeling software and financial databases, is crucial. Outstanding problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are essential for accurately assessing financial risks, developing robust models, and clearly conveying complex findings to stakeholders.

What are some typical challenges faced by Senior Quantitative Risk Analysts when developing risk models, and how are they addressed within teams?

Senior Quantitative Risk Analysts often encounter challenges such as managing large, complex datasets, ensuring model accuracy, and staying compliant with evolving regulatory standards. To address these, teams typically collaborate closely, leveraging peer reviews, regular validation processes, and ongoing communication with IT and compliance departments. Additionally, senior analysts mentor junior team members and encourage a culture of continuous learning to keep up with the latest quantitative methods and regulatory requirements.

What are Senior Quantitative Risk Analysts?

Senior Quantitative Risk Analysts are experienced professionals who use mathematical models and statistical techniques to identify, measure, and manage financial risks within an organization. They typically work in banks, investment firms, or other financial institutions, and play a key role in developing risk assessment tools, interpreting data, and advising on strategies to mitigate potential losses. In addition to their technical expertise, they often lead teams, guide junior analysts, and collaborate with other departments to ensure comprehensive risk management. Their work helps organizations make informed decisions and comply with regulatory requirements.

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

AspectSenior Quantitative Risk AnalystQuantitative Risk Analyst
Required CredentialsBachelor's or Master's in Finance, Mathematics, or related field; often with certifications like FRM or CFABachelor's or Master's in relevant fields; certifications like FRM or CFA are common but less mandatory
Work EnvironmentTypically in financial institutions, risk management teams, or investment firmsSimilar environments, often in banks, asset managers, or insurance companies
Job ResponsibilitiesLeading risk modeling, analyzing complex data, mentoring junior staffSupporting risk assessments, data analysis, and model development

The main difference lies in experience and responsibility. Senior Quantitative Risk Analysts often lead projects, mentor teams, and handle complex modeling, while Quantitative Risk Analysts focus on supporting risk analysis and data work. Both roles require similar credentials and work in comparable environments, but the senior role involves more leadership and strategic input.

What are the most commonly searched types of Quantitative Risk Analyst jobs in Pennsylvania? The most popular types of Quantitative Risk Analyst jobs in Pennsylvania are:
What are popular job titles related to Senior Quantitative Risk Analyst jobs in Pennsylvania? For Senior Quantitative Risk Analyst jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Senior Quantitative Risk Analyst jobs in Pennsylvania look for? The top searched job categories for Senior Quantitative Risk Analyst jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Senior Quantitative Risk Analyst jobs? Cities in Pennsylvania with the most Senior Quantitative Risk Analyst job openings:
Senior Quantitative Risk Analyst jobs near you
Quantitative Risk Analyst

Quantitative Risk Analyst

Wsfs Financial

Philadelphia, PA • On-site

$64.49K - $105.95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

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.

Apply