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Credit Risk Data Science Jobs in Toms River, NJ (NOW HIRING)

Position Requirements: • Bachelors degree in Business, Data Science, Data Analytics or related field. • 1-3 years relevant experience including security analytics, business continuity, risk ...

Position Requirements: • Bachelors degree in Business, Data Science, Data Analytics or related field. • 1-3 years relevant experience including security analytics, business continuity, risk ...

... credit products and services. * Manages risk/return and drives quality for new and/or existing ... data and on individual skills, experience, and education. This role is incentive eligible with the ...

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Credit Risk Data Science information

See Toms River, NJ salary details

$37.4K

$115.1K

$199.5K

How much do credit risk data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for credit risk data science in Toms River, NJ is $115,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,400.00 and $142,000.00 per year, depending on experience, location, and employer.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What job categories do people searching Credit Risk Data Science jobs in Toms River, NJ look for?

The top searched job categories for Credit Risk Data Science jobs in Toms River, NJ are:

What cities near Toms River, NJ are hiring for Credit Risk Data Science jobs?

Cities near Toms River, NJ with the most Credit Risk Data Science job openings:

Adjunct Instructor-Computer Science

Brookdale Community College

Lincroft, NJ • On-site

Full-time

Re-posted 18 days ago


Job description

The College seeks to build a pool of qualified applicants to teach future sections.
Need for is for individuals to teach -
Office 13 – COMP129
Database/Sql – COMP266
Java – COMP171, 271
Data Structures – COMP228
Operating Systems Technology – COMP225
Programming for Mobile Devices – COMP235


Teach courses in subject matter as assigned.


Education/Experience:

  • Master’s Degree in Computer Science or related discipline.

Preferred Qualifications & Special Considerations:

  • Morning, afternoon, evening and weekend courses may be available in Lincroft, Higher Education Centers, or Freehold Branch Campus.
    Knowledge of Monmouth County and its communities.

Cover Letter, CV, Other, Resume, Unofficial Transcript
$985 per credit hour