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Quantitative Risk Jobs in New Jersey (NOW HIRING)

StradIT

Quantitative Analyst

Jersey City, NJ · On-site

In this role, you will help support quantitative risk modeling work tied to fixed income and market risk use cases. This is an opportunity to contribute to analysis that informs stakeholders ...

DTCC

Senior Quantitative Software Engineer

Jersey City, NJ · On-site

$134K - $176K/yr

Support quantitative risk model implementations to support the Financial Risk Management department * Design, build, and maintain data pipelines leveraging Python, Snowflake, and relational databases

LHH US

Quantitative Analyst

Jersey City, NJ

$48.43/hr

SQL , Python , Value at Risk (VaR) , Stressed Value at Risk (SVaR) , Market Risk Models Related Job Titles: Quantitative Analyst , Risk Manager , Data Analyst Skill Requirements * Must-Have ...

DTCC

Senior Quantitative Software Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

Support quantitative risk model implementations to support the Financial Risk Management department * Design, build, and maintain data pipelines leveraging Python, Snowflake, and relational databases

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Quantitative Risk information

See New Jersey salary details

$31.5K

$92K

$148.2K

How much do quantitative risk jobs pay per year?

As of Jul 26, 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 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.

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 job categories do people searching Quantitative Risk jobs in New Jersey look for? The top searched job categories for Quantitative Risk jobs in New Jersey are:
What cities in New Jersey are hiring for Quantitative Risk jobs? Cities in New Jersey with the most Quantitative Risk job openings:
Quantitative Risk jobs near you
Infographic showing various Quantitative Risk job openings in New Jersey as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution, with an average salary of $91,959 per year, or $44.2 per hour.
Quantitative Risk Analyst

Quantitative Risk Analyst

Fidelity Investments

Jersey City, NJ • On-site

$67K - $127K/yr

Full-time

Medical, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

Fidelity Investments rating

8.8

Company rating: 8.8 out of 10

Based on 269 frontline employees who took The Breakroom Quiz

9th of 150 rated financial services

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
The Role
As an Analyst within Fidelity Risk Group's Quantitative Risk Analysis team, you will be working in a team-based, fast-paced environment. This role will expose you to the various facets of the financial services industry with a concentration in quantitative model validation and financial modeling, and develop your brand as a leader, mentor, and strategic thinker across Fidelity.
Key responsibilities:
  • Perform model validation across firm-wide business groups, including an assessment of model inputs, calculation methodology, outputs, and key assumptions
  • Assess exposure to financial risks, including counterparty, interest rate, and foreign exchange risks
  • Perform quantitative and qualitative analysis to evaluate portfolio risks, price complex securities, and analyze strategic allocations
  • Prepare presentations and written assessments to communicate observations and proposed improvements for business leaders and executives
  • Provide viable solutions to identified issues and collaborate with business leaders to implement them
  • Build deep working relationships with clients throughout Fidelity
  • Mentor and develop skills of Associate colleagues

The Expertise and Skills You Bring
  • MS in Finance, Mathematical Finance, or related field of study
  • 2-4 years of relevant work experience
  • Strong problem solving, quantitative, and analytical abilities
  • Demonstrated leadership abilities and idea generation
  • Ability to prioritize multiple tasks and manage workload
  • Strong proficiency with Bloomberg, Excel, and/or statistical software (e.g., R, Python, MATLAB, SQL)
  • Progress towards CFA or similar industry certification preferred
  • Strong written and verbal communication skills

The Team
The Quantitative Risk Analyst will work on a cross-functional team responsible for evaluating market, financial, and operational risks; validating quantitative models; assessing private and complex asset valuations; evaluating the effectiveness of risk management models and tools; communicating issues and findings to management; and devising solutions for continual business improvements. Key areas of focus include quantitative modeling, valuation and pricing, trade cost analysis, investment products, financial market events, and credit risk.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
The base salary range for this position is $67,000-$127,000 per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
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