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Quantitative Risk Jobs in New Jersey (NOW HIRING)

Market Risk Senior Associate

Jersey City, NJ ยท On-site

  • Medical

  • Life

  • Retirement

  • PTO

FR&G collaborates closely with Quantitative Risk Management and the Counterparty Credit Risk teams to maintain an integrated and comprehensive approach to financial risk management at DTCC to support ...

Develop and implement pricing and risk models for derivative products. * Translate quantitative models (e.g., Black-Scholes) into production-quality Python code. * Build libraries and tools for ...

Develop and implement pricing and risk models for derivative products. * Translate quantitative models (e.g., Black-Scholes) into production-quality Python code. * Build libraries and tools for ...

Quantitative Developer

Jersey City, NJ ยท On-site

$120 - $150/hr

Develop and implement pricing and risk models for derivative products. * Translate quantitative models (e.g., Black-Scholes) into production-quality Python code. * Build libraries and tools for ...

Develop and implement pricing and risk models for derivative products. * Translate quantitative models (e.g., Black-Scholes) into production-quality Python code. * Build libraries and tools for ...

Quantitative Developer

Jersey City, NJ ยท On-site

$100 - $150/hr

Develop and implement pricing and risk models for derivative products. * Translate quantitative models (e.g., Black-Scholes) into production-quality Python code. * Build libraries and tools for ...

Quantitative Analyst

Jersey City, NJ ยท On-site

$75 - $85/hr

Quantitative Analyst Duration: 6+ Months Location: Jersey City, NJ, 07311 Summary ... The Insider Risk team, in partnership with the Information Security Data Operations team, is ...

Market Risk Director

Jersey City, NJ ยท On-site

  • Medical

  • Life

  • Retirement

  • PTO

FR&G collaborates closely with Quantitative Risk Management and the Counterparty Credit Risk teams to maintain an integrated and comprehensive approach to financial risk management at DTCC to support ...

Showing results 21-40

Quantitative Risk information

See New Jersey salary details

$31.5K

$92K

$148.2K

How much do quantitative risk jobs pay per year?

As of Aug 16, 2026, the average yearly pay for quantitative risk in New Jersey is $91,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $120,800.00 per year, depending on experience, location, and employer.

How much do quantitative risk analysts make?

Quantitative risk analysts typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Senior analysts or those in high-demand financial centers can earn over $150,000, often supplemented by bonuses and benefits. Strong skills in statistics, programming, and risk modeling tools are essential for higher compensation.

What do quantitative risk analysts do?

Quantitative risk analysts assess financial risks using mathematical models and statistical techniques to evaluate potential losses and inform decision-making. They analyze data, develop risk measurement tools, and often use software like Excel, R, or Python to support risk management strategies in finance or insurance firms.

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.

How hard is it to become a quantitative risk?

Becoming a quantitative risk professional typically requires a strong background in mathematics, statistics, or finance, often supported by a relevant degree such as a master's or Ph.D. in a quantitative field. Developing skills in programming languages like Python or R and understanding financial models are also important, and gaining experience through internships or certifications can improve job prospects. The role is competitive and demands analytical ability, but with the right education and skills, entry is achievable.

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.

What are the most commonly searched types of Quantitative Risk jobs in New Jersey?

The most popular types of Quantitative Risk jobs in New Jersey are:

What are popular job titles related to Quantitative Risk jobs in New Jersey?

For Quantitative Risk jobs in New Jersey, the most frequently searched job titles are:

What cities in New Jersey are hiring for Quantitative Risk jobs?

Cities in New Jersey with the most Quantitative Risk job openings:

Infographic showing various Quantitative Risk job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $91,959 per year, or $44.2 per hour.

AVP, Market Risk & ALM and Hedging

3M HEALTHCARE

Jersey City, NJ โ€ข On-site

$180 - $200/hr

Other

Posted 11 days ago


Job description

Position Summary

The AVP, Market Risk and ALM and Hedging role is part of the growing Market Risk team under the Enterprise Risk Management function at Fortitude Re. In this capacity, you will support the safeguarding of the companyโ€™s financial health and ensure the successful implementation of risk management strategies. Your key responsibilities include overseeing the risk management of hedging programs, evaluating and monitoring their performance, building quantitative risk and valuation models across asset classes, and ensuring adherence to ALM and hedging guidelines while working with internal stakeholders to support balanceโ€‘sheet optimization. The role reports to the Senior Vice President, Head of Market Risk and Chief Risk Officer of the FLIAC legal entity. It is an individual contributor position with no direct reports.

Key Responsibilities
  • Lead the advancement of methodology and implementation of Fortitude Reโ€™s market risk analytics and reporting, ensuring that proper information is captured within risk reports to support effective risk management and oversight across ALM and Hedging programs.
  • Analyze and assess the impact of market risks on both the asset side and insurance liabilities, including interest rate risk, spread risk, equity risk, and liquidity risk. Communicate observations and insights with internal stakeholders to support better balanceโ€‘sheet risk decisions.
  • Collaborate closely with the Hedging and Trading team on dayโ€‘toโ€‘day risk management across the derivatives book and balanceโ€‘sheet assets and liabilities. Proactively identify and analyze potential marketโ€‘risk exposures and contribute to the development and implementation of robust hedging strategies.
  • Analyze and evaluate the effectiveness of existing and proposed hedging programs (e.g., Equity, Interest Rate, New Business Market Risk, FX, and Fund Basis risk) from quantitative modeling and operational perspectives, recommending strategies to optimize marketโ€‘risk mitigation and enhance portfolio performance and PnL.
  • Identify issues, gaps, and research solutions related to assetโ€‘liability management practice, focusing on optimizing risk management for the firmโ€™s balance sheet with specific insurance liabilities.
  • Stay abreast of evolving regulatory requirements and industry best practices in Market Risk management, hedging strategies and ALM, leveraging knowledge to enhance Fortitude Reโ€™s existing riskโ€‘management strategies and framework.
  • Collaborate with Investments, Actuarial, Finance, Capital Management, and Treasury to strengthen assetโ€‘liability management, liquidity, and hedging riskโ€‘management frameworks for both inโ€‘force portfolios and new business initiatives.
  • Maintain a deep understanding of insurance liability dynamics and their impact on the companyโ€™s risk profile, including liabilities of new reinsurance deals.
  • Monitor compliance with applicable regulatory frameworks (e.g., NAIC, BMA, RBC, or equivalent) and ratingโ€‘agency expectations related to ALM, Hedging and Liquidity risks.
  • Support internal audits, regulatory examinations, and external reviews related to portfolio risk management.
  • Promote a collaborative, accountable, and highโ€‘performance team culture aligned with organizational objectives.
Qualifications
  • Graduate degree in Financial Engineering, Quantitative Finance, Actuarial Science, or related discipline with strong quantitative finance aptitude.
  • Minimum 7โ€“12+ years of experience in market risk management, assetโ€‘liability management, and hedging or trading risk management, with a demonstrated understanding of complexities in insurance liabilities.
  • Demonstrated experience leading risk professionals or complex crossโ€‘functional initiatives.
  • Strong quantitative and modeling expertise in derivatives, including experience with interestโ€‘rate, equity, credit, volatility, correlation and portfolio models.
  • Strong quantitative and modeling skills, including experience with industryโ€‘standard riskโ€‘management software and both marketโ€‘risk and insurance liability models.
  • Strong understanding of life and annuity insurance liability characteristics and assetโ€‘liability management principles.
  • Familiarity with reinsurance industry, regulatory and capital regimes (e.g., NAIC, BMA, RBC, or equivalent).
  • Demonstrated knowledge and understanding of various financial derivative models (interestโ€‘rate, stochastic volatility, equity, etc.) and economic scenario generators desired.
  • Deep knowledge of fixedโ€‘income asset classes and their risk profiles is preferred.
  • Advanced proficiency in Excel and PowerPoint; experience with data analytics tools such as SQL, Power BI, or similar platforms.
  • Demonstrated ability to code in at least one programming language (e.g., Python, Julia, C++).
  • Strong analytical, problemโ€‘solving, and decisionโ€‘making capabilities.
  • Excellent written, verbal, interpersonal and presentation skills, with experience communicating complex risk topics to senior leadership.
  • Professional designation such as CFA, FRM, PRM, or Associate or Fellowship in the Society of Actuaries (ASA/FSA) is a plus.
  • Proven ability to work independently and within a team environment.
  • High attention to detail and highly organized with strong followโ€‘through skills.
  • Fast learner and adaptable to a fastโ€‘paced environment.
Preferred Qualifications
  • Experience leading projects and influencing stakeholders.
  • Experience overseeing derivatives and hedging program risk management.
  • Experience working within Bermuda regulatory frameworks.
Compensation

Base salary range: $180,000 โ€“ $200,000 USD per year. Eligible for an annual bonus based on company and individual performance, and a generous benefits package.

Equal Opportunity Statement

At Fortitude Re, we are committed to being an equalโ€‘opportunity employer and evaluate qualified applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, diversity of thought, and any other characteristic protected by applicable law.

We foster a culture of inclusion and belonging where everyone, regardless of background, race, religion, sexual orientation or gender identity, feels valued and respected.

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