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Market Risk Manager Jobs in New Jersey (NOW HIRING)

Market Risk Dev with Python, C++ (Contract) Jersey City, NJ, United States (On-site) Contract (3 ... Architect build and manage a massive scale distributed compute grid on public cloud platforms AWS ...

Risk reports and incident summaries are reliable, concise, and actionable for senior management. * Market-data anomalies are investigated efficiently without allowing genuine client or firm exposures ...

Risk reports and incident summaries are reliable, concise, and actionable for senior management. * Market-data anomalies are investigated efficiently without allowing genuine client or firm exposures ...

Risk reports and incident summaries are reliable, concise, and actionable for senior management. * Market-data anomalies are investigated efficiently without allowing genuine client or firm exposures ...

Sr Business Analyst

Whippany, NJ · On-site

$93K - $121K/yr

Engage with senior management CRO organization Market Risk leadership and regulatory reporting teams * Act as a subject matter expert for FRTB and market risk capital calculations * Present findings ...

Showing results 21-40

Market Risk Manager information

See New Jersey salary details

$52.3K

$113.3K

$172.6K

How much do market risk manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for market risk manager in New Jersey is $113,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $131,000.00 per year, depending on experience, location, and employer.

What does a market risk manager do?

A Market Risk Manager is responsible for identifying, assessing, and mitigating risks that arise from fluctuations in market variables such as interest rates, foreign exchange rates, and equity prices. They analyze trading portfolios, conduct stress tests, and develop risk management strategies to protect their organization from potential losses. Additionally, Market Risk Managers work closely with traders, analysts, and senior management to ensure that market risks are understood and maintained within acceptable levels.

How does a market risk manager typically collaborate with other departments within a financial institution?

A Market Risk Manager works closely with various departments such as trading, treasury, and compliance to monitor and mitigate potential risks in the institution’s portfolio. They often consult with traders to understand new products and exposures, coordinate with IT teams to enhance risk management systems, and report findings to senior management and regulatory bodies. Regular communication and collaboration are essential to ensure all teams are aligned in managing risk effectively and responding promptly to market developments.

What are the key skills and qualifications needed to thrive as a market risk manager, and why are they important?

To thrive as a Market Risk Manager, you need strong quantitative analysis skills, a background in finance or economics, and often an advanced degree such as an MBA or CFA. Familiarity with risk management software (like Value-at-Risk models), statistical tools, and financial systems such as Bloomberg Terminal is typically required. Excellent problem-solving, communication, and decision-making skills set standout candidates apart in this highly analytical role. These capabilities are crucial for accurately assessing market risks, supporting sound investment decisions, and ensuring regulatory compliance in dynamic financial environments.

What is the difference between Market Risk Manager vs Credit Risk Analyst?

AspectMarket Risk ManagerCredit Risk Analyst
Required CredentialsBachelor's degree, often CFA or FRMBachelor's degree, often CFA or FRM
Work EnvironmentFinancial institutions, trading floors, risk departmentsBanks, lending institutions, credit departments
Employer & Industry UsageUsed in investment banks, asset managers, hedge fundsUsed in commercial banks, credit agencies, lending firms
Common Search & ComparisonOften compared for risk management roles in financeCompared for credit analysis roles

The Market Risk Manager focuses on identifying and managing risks related to market fluctuations, such as interest rates and stock prices. In contrast, the Credit Risk Analyst assesses the creditworthiness of borrowers to mitigate default risk. Both roles require similar credentials and are vital in financial institutions, but they specialize in different risk areas.

Do market risk managers make good money?

Market risk managers typically earn competitive salaries that vary based on experience, location, and industry. According to industry reports, median salaries range from $80,000 to over $150,000 annually, with higher earnings possible for those with advanced certifications like FRM or CFA and extensive experience. Bonuses and benefits can also significantly increase total compensation in this role.

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

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

What cities in New Jersey are hiring for Market Risk Manager jobs?

Cities in New Jersey with the most Market Risk Manager job openings:

Infographic showing various Market Risk Manager job openings in New Jersey as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $113,256 per year, or $54.5 per hour.

Quantitative Developer / Market Risk

Motion Recruitment

Jersey City, NJ • Hybrid

Contractor

Re-posted 5 days ago


Job description

Grow your career as a Quantitative Developer ( Market Risk) with an innovative global bank in Jersey City, NJ. Contract role with strong possibility of extension. Will require working a hybrid schedule 3 days onsite per week.
Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.
Contract Duration: 6 Months

Required Skills & Experience
  • A degree in Computer Science, Engineering, or a related technical field.
  • 10+ years of professional experience with a proven track record of designing, building, and running applications on massive-scale compute grids.
  • Expert-level, hands-on experience with at least one major public cloud provider (AWS or GCP), including their batch processing, container, and serverless offerings.
  • Deep expertise in containerization and orchestration technologies (Docker, Kubernetes).
  • Strong programming skills in languages common to high-performance computing, such as C++ and Python.
  • Prior experience in a similar role within the financial industry (e.g., running large-scale Monte Carlo simulations, VaR calculations, or XVA pricing grids) is highly desirable.
  • A strong background in distributed systems, performance tuning, and infrastructure-as-code principles.
  • Exceptional problem-solving skills, with an ability to diagnose and resolve complex issues in a high-pressure, large-scale environment.
  • Excellent communication skills and the ability to work effectively with quantitative research, trading, and risk management teams.
What You Will Be Doing
  • Architect, build, and manage a massive-scale, distributed compute grid on public cloud platforms (AWS, GCP) for running financial pricing models.
  • Design and implement the orchestration layer responsible for distributing millions of pricing tasks efficiently across hundreds of thousands of CPU/GPU cores.
  • Deploy, manage, and version control a diverse library of quantitative pricing models, ensuring they run optimally in a distributed environment.
  • Obsessively monitor and optimize the performance, cost, and resource utilization of the cloud grid, driving continuous efficiency improvements.
  • Collaborate with quantitative development teams to seamlessly integrate new and updated pricing models into the production grid.
  • Engineer the data logistics to ensure that the correct market data, trade data, and model configurations are available for every calculation at runtime.
  • Ensure the pricing engine is highly available, resilient, and capable of meeting stringent recovery time objectives.