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

Topaz HR

Chief Credit Officer

Toms River, NJ · On-site

This executive-level role will be responsible for credit strategy, risk oversight, underwriting ... data analytics tools, CRM systems, and workflow automation solutions * Experience improving ...

Topaz HR

Chief Credit Officer

Toms River, NJ · On-site

$150 - $200/hr

This executive-level role will be responsible for credit strategy, risk oversight, underwriting ... data analytics tools, CRM systems, and workflow automation solutions * Experience improving ...

Topaz HR

Chief Credit Officer (Toms River)

Toms River, NJ · On-site

$150K - $200K/yr

This executive-level role will be responsible for credit strategy, risk oversight, underwriting ... data analytics tools, CRM systems, and workflow automation solutions * Experience improving ...

IT America Inc

Data Architect

Berkeley, NJ · On-site

$59 - $76/hr

Architect scalable, secure, high-performance data solutions for fraud detection and risk management ... Work with data scientists to prepare training datasets, support feature engineering, and ...

exogroup

Payment Risk Specialist

Barnegat, NJ · On-site

$104K/yr

... data analytics, machine learning, and industry best practices. * Monitor fraud trends and patterns ... Requirements: * Bachelor's degree in Finance, Business Administration, Computer Science ...

PNC

Underwriter III - REB

East Brunswick, NJ

$86K - $172K/yr

If relevant, performs ongoing credit risk management for assigned portfolio. May coach and/or ... Property Data Analysis, Real Estate Sales Closings and Agreements, Regulatory Environment ...

PNC Bank

Underwriter III - Corporate

East Brunswick, NJ · On-site

$86K - $172K/yr

If relevant, performs ongoing credit risk management for assigned portfolio. May coach and/or ... data and on individual skills, experience, and education. This role is incentive eligible with the ...

Guardianlife

Head of AI Governance

Holmdel, NJ · On-site

$152K - $250K/yr

The AI Governance Lead partners closely with Data Science, AI Platforms, Data Management, Data Governance, Risk, Legal, and Technology teams to translate enterprise AI governance strategy into ...

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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 Aug 30, 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:

Credit Risk Data Science jobs near you

Chief Credit Officer

Toms River, NJ • On-site

Topaz HR
See more jobs at Topaz HRexternal

Full-time

PTO

Re-posted 27 days ago

Job description

Position Overview

A growing financial services organization is seeking a Chief Credit Officer to lead underwriting, credit risk, and portfolio management functions. This executive-level role will be responsible for credit strategy, risk oversight, underwriting performance, and portfolio quality while supporting the company's continued growth. The ideal candidate brings strong leadership experience within commercial lending, alternative finance, fintech, or revenue-based financing environments and can balance disciplined risk management with sustainable business expansion.

Responsibilities
  • Lead underwriting, credit, and risk management functions
  • Develop and enhance credit policies, risk frameworks, and approval processes
  • Oversee portfolio performance, pricing discipline, and risk exposure
  • Manage and mentor underwriting and credit teams
  • Review and approve high-value or complex transactions
  • Partner with executive leadership on growth strategy and risk management
  • Monitor portfolio trends, credit quality, and loss mitigation efforts
  • Drive process improvements, automation, and underwriting efficiency
Qualifications
  • 3+ years of experience in underwriting, credit risk, commercial lending, alternative finance, or fintech lending
  • 3+ years of leadership experience managing underwriting or credit teams
  • Experience with MCA, revenue-based financing, commercial lending, or similar products
  • Strong expertise in cash-flow underwriting, risk assessment, and portfolio management
  • Tech-savvy with a high level of comfort using modern financial technology, underwriting platforms, data analytics tools, CRM systems, and workflow automation solutions
  • Experience improving underwriting systems, workflows, or credit models preferred
  • Excellent analytical, leadership, and decision-making skills
Compensation & Benefits
  • $150,000–$200,000 base + bonus depending on experience
  • Performance-based bonus opportunity
  • Paid time off
  • Executive-level growth and leadership opportunity
About the Employer

A rapidly growing financial services company that provides flexible working capital solutions to small and mid-sized businesses nationwide. The organization combines disciplined risk management, operational excellence, and technology-driven decision-making to deliver efficient funding solutions while maintaining a strong commitment to client service and portfolio performance.

EEO Statement

Topaz HR is an Equal Opportunity Employer, and we do not discriminate on the basis of race, color, religion, gender, national origin, age, disability, or any other status protected by applicable law. We value and are committed to creating an inclusive environment for all employees.

Please Note

Topaz HR is managing the recruitment process for this opportunity. Additional information about the organization will be shared with qualified candidates during the interview process. All hiring decisions will be made directly by the employer.

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