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Quantitative Risk Manager Jobs in Wyncote, PA (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 ...

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

STV is seeking a highly analytical and proactive Risk Management Specialist to join our Project ... Strong data analysis, modeling, and problem-solving capabilities, including quantitative risk ...

... managing sportsbook or fantasy sports risk and developing effective trading strategies * Strong analytical and quantitative skills, with the ability to analyze data and make informed decisions ...

Head of Risk & Trading

Philadelphia, PA · On-site +1

$100K - $150K/yr

... managing sportsbook or fantasy sports risk and developing effective trading strategies * Strong analytical and quantitative skills, with the ability to analyze data and make informed decisions ...

Head of Risk & Trading

Philadelphia, PA · On-site +1

$100K - $150K/yr

... managing sportsbook or fantasy sports risk and developing effective trading strategies * Strong analytical and quantitative skills, with the ability to analyze data and make informed decisions ...

Risk Management: Lead integrated risk management-facilitate risk workshops, maintain the risk register, conduct qualitative and quantitative analyses (cost/schedule risk, Monte Carlo), and drive ...

Risk Management: Lead integrated risk management-facilitate risk workshops, maintain the risk register, conduct qualitative and quantitative analyses (cost/schedule risk, Monte Carlo), and drive ...

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Quantitative Risk Manager information

See Wyncote, PA salary details

$50.5K

$109.5K

$166.8K

How much do quantitative risk manager jobs pay per year?

As of Jun 26, 2026, the average yearly pay for quantitative risk manager in Wyncote, PA is $109,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,300.00 and $126,600.00 per year, depending on experience, location, and employer.

Is quantitative risk management in demand?

Quantitative risk management is in high demand across financial services, insurance, and investment firms due to increasing regulatory requirements and the need for sophisticated risk assessment tools. Professionals in this field with skills in data analysis, statistical modeling, and programming are sought after, especially those with certifications like FRM or CFA. The role often involves using software such as Python, R, or MATLAB to develop risk models and monitor financial exposures.

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.

What is the salary of quant Risk Manager?

The salary of a Quantitative Risk Manager typically ranges from $100,000 to $200,000 annually, depending on experience, location, and the size of the organization. Senior roles or those in major financial hubs can earn higher compensation, often including bonuses and performance incentives.

How much do quant risk managers make?

Quantitative risk managers typically earn a median salary ranging from $100,000 to $150,000 annually, with experienced professionals in major financial centers earning over $200,000. Compensation often includes bonuses and depends on factors such as experience, education, certifications, and the complexity of the risk models managed.

What is a quantitative Risk Manager?

A quantitative risk manager is a professional who uses mathematical models, statistical analysis, and programming skills to identify, assess, and mitigate financial risks within an organization. They often work with tools like Excel, R, or Python and require strong knowledge of finance, mathematics, and risk management frameworks. Their goal is to help firms make data-driven decisions to minimize potential losses and ensure regulatory compliance.

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.

What cities near Wyncote, PA are hiring for Quantitative Risk Manager jobs? Cities near Wyncote, PA with the most Quantitative Risk Manager job openings:
Quantitative Risk Analyst

Quantitative Risk Analyst

WSFS Bank

Philadelphia, PA • On-site

$64K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 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.