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Quantitative Risk Analyst Jobs in Pennsylvania (NOW HIRING)

Fraud Risk Analytics Manager

Pittsburgh, PA ยท Hybrid

$106K - $130K/yr

Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks ... Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative ...

Fraud Risk Analytics Manager

Pittsburgh, PA ยท Hybrid

$106K - $130K/yr

Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks ... Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative ...

Fraud Risk Analytics Manager

Philadelphia, PA ยท Hybrid

$106K - $130K/yr

Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks ... Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative ...

Fraud Risk Analytics Manager

Philadelphia, PA ยท Hybrid

$106K - $130K/yr

Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks ... Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative ...

Fraud Risk Analytics Manager

Philadelphia, PA ยท Hybrid

$106K - $130K/yr

Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks ... Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative ...

Fraud Risk Analytics Manager

Pittsburgh, PA ยท Hybrid

$106K - $130K/yr

Familiarity with entity resolution, graph/network analytics , or customercentric risk frameworks ... Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative ...

PA ยท On-site

$150 - $200/hr

... and quantitative analytics. The CRO will account for assessing and mitigating credit and payment default risk to PJM's wholesale markets and will define and oversee methods to monitor market ...

... and quantitative analytics. The CRO will account for assessing and mitigating credit and payment default risk to PJM's wholesale markets and will define and oversee methods to monitor market ...

Showing results 41-60

Quantitative Risk Analyst information

See Pennsylvania salary details

$56.6K

$134.2K

$240.6K

How much do quantitative risk analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for quantitative risk analyst in Pennsylvania is $134,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $145,800.00 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 Pennsylvania? The most popular types of Quantitative Risk Analyst jobs in Pennsylvania are:
What are popular job titles related to Quantitative Risk Analyst jobs in Pennsylvania? For Quantitative Risk Analyst jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Analyst jobs in Pennsylvania look for? The top searched job categories for Quantitative Risk Analyst jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Quantitative Risk Analyst jobs? Cities in Pennsylvania with the most Quantitative Risk Analyst job openings:
Infographic showing various Quantitative Risk Analyst job openings in Pennsylvania as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $134,199 per year, or $64.5 per hour.

Fraud Risk Analytics Manager

Citizens

Pittsburgh, PA โ€ข Hybrid

$106K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Job description

Description

We are seeking an experienced Senior Data Scientist to lead fraud risk strategy optimization and entitylevel fraud state estimation across the enterprise. This role is critical to developing a holistic understanding of customer behavior and translating that understanding into intelligent decisioning and colleague decision support across fraud prevention, risk management, and product experiences.

The ideal candidate brings deep fraud domain expertise spanning across the entire customer life cycle, strong analytical rigor, and the courage to challenge existing approaches while delivering practical, scalable solutions under time constraints and scope changes. This individual will partner closely with business leaders, first- and second-line risk teams, fraud operations, and product to drive measurable fraud risk reduction and improved customer outcomes.

Key Responsibilities

  • Discover, Design, develop, and execute fraud risk strategy optimization frameworks, including rule, model, and hybrid decisioning approaches
  • Perform entitylevel fraud state estimation across customers, accounts, devices, and networks to enable consistent, enterprisewide fraud understanding
  • Translate complex fraud signals into actionable insights and decision support for colleagues across business, risk, and operations
  • Partner with first- and second-line risk teams to ensure strategies are transparent, explainable, and wellgoverned
  • Collaborate with operations and product teams to ensure well-defined objective functions which are operationally viable and aligned with customer experience goals
  • Communicate findings clearly to both technical and nontechnical audiences, influencing decisionmaking at multiple levels
  • Champion innovation by testing new analytical approaches while maintaining disciplined execution and production readiness

Required Qualifications

  • 5+ years of experience in fraud analytics, fraud risk management, or financial crime data science
  • Strong experience with fraud detection, prevention, and decisioning systems in complex environments
  • Demonstrated ability to balance risk reduction, customer experience, and operational efficiency
  • Proven track record of independent problemsolving, ownership, and delivery in ambiguous problem spaces
  • Excellent communications (oral and written), interpersonal/business partnering, and organizational skills
  • Demonstrates courage, innovation, and high productivity
  • Bachelor's degree in Operations Management, Mathematics, Statistics, Actuarial Sciences, Economics or other quantitative, business or technical discipline

Technical Skills

  • Advanced SQL for data extraction, transformation, and analysis
  • Strong Python skills for data analysis, modeling, and pipeline development
  • Solid foundation in data science and statistical learning, including:ย 
    • Classification and regression techniques
    • Feature engineering
    • Model evaluation and performance monitoring

Preferred Qualifications

  • Experience with fraud strategy optimization, challenger testing, or decision policy design
  • Familiarity with entity resolution, graph/network analytics, or customercentric risk frameworks
  • Experience operating within regulated environments and risk governance structures
  • Master degree in Mathematics, Statistics, Operations Management, Economics or other quantitative, business or technical discipline preferred

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: 8:00am-5:00pm Monday - Friday

Pay Transparencyย 

The salary range for this position is $106,000 - $130,000 per year. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience. We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits

This role is not eligible for new employersponsored or current H-1 B visa holders. Applicants, including current OPT, L and other visa holders, must be authorized to work in the U.S. without the need for new employer sponsorship for themselves or their spouses now and in the future.

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST