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Counterparty Credit Risk Jobs in New Jersey (NOW HIRING)

Wells Fargo

Senior Data Engineer

Iselin, NJ

$107K - $146K/yr

ECRT partners closely with Corporate Risk, Lines of Business, and Enterprise Counterparty Credit Risk teams to deliver strategic technology solutions that help ensure risks are effectively managed ...

Barclays

NJ · On-site

$188.18 - $195/hr

Engage stakeholders across multiple business areas, including Front Office, Credit Risk IT, Credit Officers, Credit Risk Methodology (CRM), Derivatives Counterparty Exposure Measurement (DCEM), Model ...

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Counterparty Credit Risk information

See New Jersey salary details

$50.8K

$111K

$185.8K

How much do counterparty credit risk jobs pay per year?

As of Aug 23, 2026, the average yearly pay for counterparty credit risk in New Jersey is $110,980.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $144,200.00 per year, depending on experience, location, and employer.

What is counterparty credit risk?

A Counterparty Credit Risk job involves assessing and managing the credit exposure a financial institution faces from its counterparties, such as banks, hedge funds, and corporations. Professionals in this role analyze the creditworthiness of counterparties, set risk limits, and monitor exposures to mitigate potential losses. They use quantitative models and market data to assess risks in trading, lending, and derivative transactions. The role requires strong analytical skills, knowledge of financial markets, and an understanding of regulatory requirements.

What does a counterparty credit risk professional do?

Professionals in Counterparty Credit Risk spend their days analyzing the creditworthiness of clients, assessing exposures, and monitoring limits to minimize potential losses. They frequently review financial statements, assign credit ratings, and collaborate with front office, legal, and operations teams to structure deals and set terms. Ongoing responsibilities may also include preparing risk reports, presenting findings to risk committees, and staying informed about market events that could impact counterparties. This role combines independent analysis with close teamwork and cross-departmental communication, making it dynamic and integral to risk management in financial institutions.

What skills and qualifications are needed to thrive in counterparty credit risk?

To thrive in Counterparty Credit Risk, you need a strong background in financial analysis, quantitative modeling, and risk assessment, typically supported by a degree in finance, mathematics, or a related field. Familiarity with credit risk modeling tools such as Moody’s RiskCalc, SAS, and advanced proficiency in Excel and SQL is highly valued, alongside relevant certifications like FRM or CFA. Strong analytical thinking, attention to detail, and clear communication skills set top professionals apart. These abilities are crucial for accurately assessing counterparties’ creditworthiness, mitigating financial risks, and supporting sound decision-making in fast-paced financial markets.

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

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

What job categories do people searching Counterparty Credit Risk jobs in New Jersey look for?

The top searched job categories for Counterparty Credit Risk jobs in New Jersey are:

Counterparty Credit Risk jobs near you
Infographic showing various Counterparty Credit Risk job openings in New Jersey as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $110,980 per year, or $53.4 per hour.

Wholesale Credit Quantitative Research - Senior Associate

JPMorgan Chase & Co.

Jersey City, NJ • On-site

$140 - $210/hr

Other

Re-posted 16 hours ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 496 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

Help strengthen how we measure and manage risk in cleared derivatives. You will build quantitative models and tools that assess central counterparty margin adequacy and support counterparty credit risk management. Working with partners across controls and technology, you will take research into practical, production-ready solutions. Your work will directly inform risk frameworks and governance.

Job summary

As a Quantitative Research Senior Associate in Wholesale Credit Risk Quantitative Research, you will develop models and tools that assess central counterparty margin adequacy and support counterparty credit risk management for cleared derivatives. You will collaborate with a team that values strong partnerships, thoughtful analysis, and clear communication. You will work closely with risk governance and control partners to support a well-managed model lifecycle. You will engage technology partners to help deliver scalable, production-ready solutions.

Job responsibilities
  • Develop expertise in quantitative topics related to central counterparties and cleared derivatives
  • Create models and tools to assess the adequacy of margin requirements for cleared derivatives
  • Develop and enhance models and toolsets that evaluate the effectiveness of counterparty risk frameworks
  • Build statistical models and analytics to assess and manage counterparty credit risk
  • Partner with risk governance and control teams to support model oversight and ongoing reviews
  • Collaborate with technology partners to implement, test, and deploy production-ready models and tools
  • Document assumptions, methodologies, and limitations clearly to support transparency and re-use

  • Communicate findings and recommendations in a clear, logical way to technical and non-technical stakeholders

Required qualifications, capabilities, and skills
  • Doctorate or master’s degree (or equivalent) in financial engineering, operations research, statistics, mathematics, computer science, economics, or a related field
  • 3 years of experience in quantitative research, quantitative strategy, or a closely related quantitative role
  • Proficiency in Python for model development and data analysis
  • Strong understanding of cleared derivatives and risk management methodologies, including value at risk and stress testing, across asset classes
  • Excellent verbal and written communication skills, with the ability to articulate analysis clearly and logically
  • Demonstrated attention to detail and the ability to deliver across multiple time-sensitive timelines
  • Strong risk and control mindset and a track record of effective cross-team partnership
Preferred qualifications, capabilities, and skills
  • Proficiency in R in addition to Python
  • Experience assessing central counterparty margin methodologies and margin adequacy
  • Experience developing or enhancing counterparty credit risk models for derivatives
  • Experience deploying analytical models into production environments in partnership with engineersFamiliarity with model governance expectations, documentation, and ongoing monitoring practices
  • Experience working with cleared products across multiple asset classes
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