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Quantitative Risk Manager Jobs in Pennsylvania (NOW HIRING)

PJM Interconnection, LLC

PA · On-site

$150 - $200/hr

... collateral management, underwriting corporate insurance, trade risk and analytics, model validation, KYC (know your customer) and quantitative analytics. The CRO will account for assessing and ...

Solar Mason

Chief Risk Officer (CRO)

Scranton, PA · On-site +1

Strong knowledge of risk management principles and familiarity with industry-related laws and regulations. * Excellent quantitative and analytical skills coupled with an ability to see the broader ...

Truist

Audit Manager - Quant

King Of Prussia, PA

$103K - $135K/yr

... Quantitative Audit Manager (QAM) is responsible for the delivery of complex technical audit ... risk associated with both financial and non-financial models and other quantitative tools ...

New

PJM

VP, Chief Risk Officer

Audubon, PA · On-site

... collateral management, underwriting corporate insurance, trade risk and analytics, model validation, KYC (know your customer) and quantitative analytics. The CRO will account for assessing and ...

Bing Recruitment

Chief Risk Officer

Philadelphia, PA · On-site +1

$185K - $250K/yr

Aligning risk management with the overall company goals and objectives · Analytical Rigor : Strong quantitative skills to interpret complex data and risk models. · Proficient with Microsoft Office ...

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Quantitative Risk Manager information

See Pennsylvania salary details

$51.6K

$111.8K

$170.4K

How much do quantitative risk manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for quantitative risk manager in Pennsylvania is $111,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $129,300.00 per year, depending on experience, location, and employer.

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 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.

What are popular job titles related to Quantitative Risk Manager jobs in Pennsylvania? For Quantitative Risk Manager jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Manager jobs in Pennsylvania look for? The top searched job categories for Quantitative Risk Manager jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Quantitative Risk Manager jobs? Cities in Pennsylvania with the most Quantitative Risk Manager job openings:
Quantitative Risk Manager jobs near you
Infographic showing various Quantitative Risk Manager job openings in Pennsylvania as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $111,824 per year, or $53.8 per hour.

Operational Risk Management

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Per diem

Re-posted 11 days ago

Job description

Overview
We are looking for a highly organized and motivated individual to support the development and execution of our Internal Controls and Operational Risk Management framework. This role offers hands-on exposure to enterprise risk processes, control testing, risk reporting, and incident tracking.
Key Responsibilities
  • Risk & Controls Support
    • Assist in performing control testing and walkthroughs to assess control design and effectiveness.
    • Help maintain the internal control library and documentation (e.g., narratives, risk/control matrices).
    • Support facilitation of Risk and Control Self-Assessments (RCSAs) with first-line teams.
    • Record, track, and help analyze operational incidents and loss events.
    • Run scenario analysis
  • Data & Reporting
    • Collect and maintain risk and control data in internal systems.
    • Contribute to the preparation of dashboards, scorecards, and risk reports for senior stakeholders.
    • Support Key Risk Indicator (KRI) monitoring and escalation processes.
  • Operational Risk Processes
    • Log and follow up on risk issues, remediation plans, and audit findings.
    • Assist in reviewing vendor risk data, business continuity documentation, and third-party controls.
    • Help ensure compliance with internal risk policies and procedures.

What we're looking for
Required Qualifications
  • Industry experience in market making, algorithmic trading, or proprietary trading is strongly preferred, along with relevant familiarity with industry-specific regulatory frameworks.
  • 5-7 years of experience in operational risk, compliance, audit, or a related operational role.
  • Basic understanding of risk and control concepts (e.g., preventative vs. detective controls, risk assessments).
  • Strong organizational and documentation skills.
  • Proficiency in Microsoft Office, especially Excel, and familiarity with data analysis tools.
  • Visa sponsorship for work authorization is not available for this position now or in the future.

Preferred Qualifications
  • Exposure to internal audit, controls testing, or regulatory compliance is a plus.
  • Interest in pursuing professional certifications (e.g., CRMA, CIA, CISA).

Key Competencies
  • Detail-oriented and process-driven
  • Strong communication skills
  • Problem-solving mindset
  • A proven ability to manage competing priorities in a challenging, fast-paced environment
  • Discretion and integrity in handling sensitive data

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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