1

Credit Risk Data Science Jobs (NOW HIRING)

Client is looking for a detail-oriented and data-driven Credit Risk Analyst to join Credit Risk ... Bachelor's degree or higher in Analytics, Statistics, Finance, Accounting, Math, Computer Science ...

This role sits at the intersection of credit risk analytics, data science, and strategic risk management. You'll leverage advanced querying, AI-assisted analytics, and predictive portfolio ...

Experience You'll Bring: * 4 or more years of professional experience in data science, machine learning, and artificial intelligence, with a focus on credit risk management in underwriting ...

next page

Showing results 1-20

Credit Risk Data Science information

See salary details

$37K

$113.9K

$197.5K

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

As of Jun 1, 2026, the average yearly pay for credit risk data science in the United States is $113,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $140,500.00 per year, depending on experience, location, and employer.

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

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 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.
More about Credit Risk Data Science jobs
What cities are hiring for Credit Risk Data Science jobs? Cities with the most Credit Risk Data Science job openings:
What states have the most Credit Risk Data Science jobs? States with the most job openings for Credit Risk Data Science jobs include:
Infographic showing various Credit Risk Data Science job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 79% Full Time, and 18% Part Time. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution, with an average salary of $113,881 per year, or $54.8 per hour.

Credit Risk Reporting Specialist

Peapack Private Bank & Trust

Bedminster, NJ โ€ข On-site

$72.65K - $83K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

Company Overview:ย 

Peapack Private Bank & Trust is a well-recognized, high-performing boutique bank and a leader in wealth, lending, and deposit solutions. We provide a broad range of sought-after products and services designed to help our clients establish, maintain, and grow their legacy through an innovative approach to private banking.ย 

What makes Peapack Private different from our competition? As an institution with over 100 years of history, we have always believed in putting the well-being and needs of our employees and clients first. We are proud to be recognized by American Banker for the eighth consecutive year as one of the nationโ€™s โ€œBest Banks to Work For.โ€ Our secret sauce, in a word, is our culture.

We value a diverse, equitable, inclusive, and safe workplace. Our one-team culture goes to great lengths to show all employees that they are valued members of the organization. We treat one another like family and communicate across the Bank in a transparent and frequent manner, respect and consider feedback from all levels, and operate with a philosophy grounded in hospitality and genuine human kindness.ย 

There are multiple ways to build relationships and get involved; from joining one of our Cultural Ambassador sub-committees (focused on Wellness, Employee Fun, Diversity & Inclusion, or Environmental Awareness), to participating in community service activities through our Volunteerism outreach, to joining LIFT (Leading Inspiring Females Together), a committee focused on enriching the lives of women. Simply put, our culture is amazing.

Position Overview:

This role is critical in supporting the Bankโ€™s credit risk oversight function by delivering comprehensive, timely, accurate, and insightful credit risk reports to senior management, the board, regulators, and other stakeholders. The ideal candidate will possess strong technical and analytical skills, be detail-oriented, along with an understanding of banking regulations and credit risk exposures.

This position plays a key role in the development and enhancement of enterprise-wide credit risk reporting and governance and is an essential contributor to the development and maintenance of the bankโ€™s risk management strategy.

Key Responsibilities:

  • Prepare and maintain regular and ad-hoc credit risk reports, dashboards, and analytics for executive management, board committees, internal auditors, regulatory agencies and other relevant stakeholders.
  • Aggregate and analyze loan portfolio data to identify trends, exposure, concentrations, and emerging risks across commercial, consumer, and real estate portfolios.
  • Monitor and report on key credit risk metrics, such as portfolio quality, portfolio mix, risk rating migration, risk tolerance, delinquencies, charge-offs, recoveries, and loan growth.
  • Support stress testing and scenario analysis processes, ensuring accuracy and consistency in inputs and results.
  • Collaborate with Credit Administration, Finance, Compliance, and other departments to gather and reconcile data.
  • Assist with development and automation of risk reporting processes using Power BI and other relevant tools.
  • Maintain and enhance reporting controls and documentation, ensuring compliance with internal policies and regulatory expectations (e.g., FRB and NJDOBI).
  • Contribute to the continual improvement of data governance, quality, and credit risk data infrastructure.
  • Stay informed of and updated with industry trends, regulatory developments, and best practices in credit risk and data reporting.

ย Qualifications:

  • Bachelorโ€™s degree in Finance, Economics, Accounting, Statistics, Data Analytics, or related field. Masterโ€™s degree or MBA preferred.
  • 3+ years of experience in credit risk reporting, credit analysis, or risk management within a banking or financial services environment.
  • Experience working at a bank with total assets between $10 and $25 billion is strongly preferred.
  • Proficiency in Microsoft Excel, PowerPoint and Power BI.
  • Familiarity with core banking systems and loan data structures.
  • Strong knowledge of credit risk metrics and regulatory credit risk requirements (e.g., CECL, CCAR/DFAST).
  • Strong analytical and quantitative skills with attention to detail and accuracy.
  • Excellent written and verbal communication skills, with the ability to convey complex concepts to non-technical audiences.
  • Ability to manage multiple priorities and meet deadlines in a dynamic environment.

Benefits Overview:ย 

We offer a competitive compensation package, a generous paid time off program, comprehensive medical, dental and vision coverage, maternity/paternity leave, education reimbursement, wellness programs and more.ย  We also offer participation in an Employee Stock Purchase Program and a 401K with a generous match.ย 

The approximate pay range for this position is $72,653 -$83,000, plus an opportunity to earn performance-based incentives. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including, but not limited to knowledge, skills and abilities, as well as geographic location.ย 

Note: Incentives and/or benefits packages may vary depending on the position.ย ย