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Remote Credit Risk Modeling Jobs in Newark, NJ (NOW HIRING)

Remote Role Responsibilities * Evaluate and improve AI-generated outputs related to bond pricing ... Review model reasoning on trade structuring, execution decisions, and risk management. * Provide ...

Conduct deep discovery to understand client business models, risk strategies, regulatory ... You will enjoy paid time off and company holidays, flexible and remote-friendly opportunities, and ...

... remote-first with a home base in New York City. As a company, we build institutional-grade vaults that deliver risk-adjusted DeFi yields at scale, powered by automated risk models and off-chain ...

Software Engineer, Credit

New York, NY · Remote

$168K - $275K/yr

Develop high-volume, low-latency risk controls to support Ramp's expansion into new products ... Proficiency with converting abstract business problems into robust data models and technical specs.

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Remote Credit Risk Modeling information

See Newark, NJ salary details

$129.5K

$150.9K

$195.1K

How much do remote credit risk modeling jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote credit risk modeling in Newark, NJ is $150,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,800.00 and $154,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Credit Risk Modeler, and why are they important?

To thrive as a Remote Credit Risk Modeler, you need a strong background in statistics, data analysis, and financial risk assessment, typically supported by a degree in mathematics, finance, or a related field. Familiarity with statistical modeling tools such as SAS, R, Python, and experience with credit risk platforms or regulatory frameworks like Basel II/III are highly valued. Excellent problem-solving skills, attention to detail, and effective communication are crucial for interpreting complex data and collaborating with remote teams. These skills ensure accurate risk assessments, regulatory compliance, and sound decision-making in credit portfolios.

What is the difference between Remote Credit Risk Modeling vs Remote Credit Analyst?

AspectRemote Credit Risk ModelingRemote Credit Analyst
Required CredentialsDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficialDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficial
Work EnvironmentDeveloping models, analyzing data, using statistical softwareAssessing creditworthiness, reviewing financial documents, communicating with clients
Industry UsageFinancial institutions, credit bureaus, fintech companiesBanks, lending institutions, credit agencies

Remote Credit Risk Modeling focuses on creating statistical models to predict credit risk, requiring strong analytical skills and technical expertise. Remote Credit Analysts evaluate individual credit applications and assess risk based on financial data. While both roles operate remotely within the finance industry, they differ in daily tasks and skill emphasis, with modeling being more technical and analysis more client-focused.

How does a remote Credit Risk Modeling professional typically collaborate with cross-functional teams?

As a remote Credit Risk Modeling professional, collaboration with cross-functional teams—such as data analysts, IT specialists, and business stakeholders—is usually facilitated through virtual meetings, shared project management tools, and version-controlled code repositories. Clear communication and regular updates are essential, as you'll often need to translate complex modeling outcomes into actionable insights for non-technical colleagues. Building strong relationships remotely can be a challenge, but utilizing video calls and collaborative documentation helps ensure alignment on project goals and timelines.

What is remote credit risk modeling?

Remote credit risk modeling involves analyzing and predicting the likelihood that borrowers will default on their loans, all while working from a location outside of a traditional office setting. Professionals in this role use statistical techniques and data analysis tools to assess creditworthiness and help financial institutions minimize risk. They often collaborate with teams virtually, utilizing secure platforms to access data and build predictive models. This remote setup allows for flexibility and efficiency while still upholding high standards of data security and accuracy.
What are the most commonly searched types of Credit Risk Modeling jobs in Newark, NJ? The most popular types of Credit Risk Modeling jobs in Newark, NJ are:
What are popular job titles related to Remote Credit Risk Modeling jobs in Newark, NJ? For Remote Credit Risk Modeling jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Credit Risk Modeling jobs in Newark, NJ look for? The top searched job categories for Remote Credit Risk Modeling jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Remote Credit Risk Modeling jobs? Cities near Newark, NJ with the most Remote Credit Risk Modeling job openings:
Energy Portfolio Analyst (Remote)

Energy Portfolio Analyst (Remote)

Kimmel & Associates

New York, NY • Remote

$90K - $110K/yr

Full-time

Posted 2 days ago


Job description

About the Company

The company is a leading retail energy and distributed generation provider focused on delivering cleaner, lower-cost energy solutions to commercial and industrial customers. The company combines traditional energy supply services with distributed energy infrastructure solutions such as solar and battery storage.

About the Position

The company is seeking an analytical and detail-oriented Energy Portfolio Analyst to support the company's growing portfolio of power, natural gas, and REC assets across East Coast markets. This position will play a critical role in market analysis, portfolio management, risk assessment, and process optimization.

The ideal candidate will have experience working within energy markets and possess strong quantitative, analytical, and technical skills. This is an excellent opportunity for an emerging energy professional to join a fast-growing organization operating at the forefront of renewable energy and sustainable infrastructure.

Key Responsibilities

Market Analysis & Reporting

  • Monitor and analyze electricity, natural gas, and REC markets
  • Produce market insights, reporting, and analytics to support trading and risk management strategies
  • Track market trends, pricing movements, and regulatory developments impacting portfolio performance

Portfolio Analytics

  • Maintain and improve pricing, forecasting, and hedging tools
  • Ensure accuracy and integrity of portfolio data and reporting systems
  • Analyze volumetric exposure, pricing risk, and portfolio performance metrics

Risk & Optimization Support

  • Support scenario analysis and risk modeling activities
  • Assist in identifying portfolio optimization and supply opportunities
  • Contribute to strategic decision-making related to energy procurement and asset management

Automation & Innovation

  • Improve workflows through automation and advanced analytics tools
  • Support the implementation of AI and data-driven solutions for forecasting and reporting
  • Enhance operational efficiency across portfolio management functions

Cross-Functional Collaboration

  • Partner with internal teams to resolve data and operational issues
  • Support broader commercial initiatives across trading, operations, and origination teams
  • Contribute to a collaborative, fast-paced, and solutions-oriented culture

Requirements

  • Bachelor's degree or higher in Finance, Mathematics, Economics, Business, or a related quantitative field
  • 24 years of experience in energy markets, portfolio analytics, risk management, trading support, or related functions
  • Experience working with power, renewable energy certificates (RECs), and/or natural gas markets preferred
  • Strong analytical and quantitative problem-solving abilities
  • Advanced proficiency in Microsoft Excel and data analysis tools
  • Experience with forecasting, pricing, hedging, or risk analytics preferred
  • Familiarity with automation tools, scripting languages, AI applications, or business intelligence platforms is a plus
  • Strong attention to detail and ability to manage multiple priorities in a fast-paced environment
  • Excellent communication and collaboration skills

Benefits

  • Competitive compensation package with a salary range of $90,000$110,000, commensurate with experience
  • Opportunity to work remotely within a high-growth renewable energy organization
  • Exposure to innovative clean energy and distributed infrastructure projects
  • Collaborative and entrepreneurial team environment
  • Professional growth opportunities within a rapidly evolving energy platform

Kimmel & Associates logo

About Kimmel & Associates

Sourced by ZipRecruiter

Kimmel & Associates, based in Asheville, NC, US, is recognized as the premier leader in the executive search and recruitment industry. The company, in operation since 1981, serves numerous industries including construction, supply chain, waste, and recycling, specialty contractors, and private equity. Utilizing their exceptional knowledge and robust industry connections, they assist clients by filling crucial executive and managerial roles that directly impact business performance and growth. The company is guided by a strong corporate philosophy centered on respect, listening, humility, and continuous improvement. Their mission is to foster enduring relationships and to help industries thrive by connecting the brightest talent with superior companies.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Asheville, NC, US

Year founded

1981

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