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Credit Risk Data Analyst Jobs (NOW HIRING)

PSECU

Credit Risk Analyst

Harrisburg, PA · On-site

Reports to the Director of Credit Risk & Data Analytics. Work is performed with a high degree of independence. Schedule: Monday - Friday, 8am -4 or 9am -5pm. This position will be a hybrid model both ...

PSECU

Credit Risk Analyst

Harrisburg, PA

Reports to the Director of Credit Risk & Data Analytics. Work is performed with a high degree of independence. Schedule: Monday - Friday, 8am -4 or 9am -5pm. This position will be a hybrid model both ...

USAA

Senior Analyst, Credit Risk Strategy

Plano, TX · On-site +1

Credit Risk Analyst Seniors use quantitative methods to identify credit risk, develop and deliver ... Analyze internal and external scores/data for use in identifying first party fraud. * Apply ...

Continental Finance

Credit Risk Analyst

Wilmington, DE · Hybrid

We are seeking a Data Analyst to support our Credit Risk team. Seeking a Data Analyst to support direct mail and Invitation-To-Apply (ITA) acquisition campaigns through targeting, list processing and ...

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Credit Risk Data Analyst information

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$37K

$113.9K

$197.5K

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

As of Jun 19, 2026, the average yearly pay for credit risk data analyst 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 does a Credit Risk Data Analyst do?

A Credit Risk Data Analyst is responsible for gathering, analyzing, and interpreting data related to credit risk to help financial institutions make informed lending decisions. They use statistical techniques and data modeling to assess the likelihood that a borrower will default on a loan. Their work supports the development of risk models, credit policies, and reporting processes, ensuring the institution minimizes losses while maximizing opportunities. These analysts often collaborate with risk managers, underwriters, and IT teams to develop and implement effective risk assessment tools.

How do Credit Risk Data Analysts typically collaborate with other departments within a financial institution?

Credit Risk Data Analysts often work closely with teams such as lending, underwriting, compliance, and IT. They provide data-driven insights to help these departments assess borrower risk, design credit policies, and ensure regulatory compliance. Collaboration usually involves regular meetings to discuss risk models, share analytical findings, and refine credit assessment processes, ensuring all teams are aligned in managing the institution's credit exposure effectively.

What is the difference between Credit Risk Data Analyst vs Credit Analyst?

AspectCredit Risk Data AnalystCredit Analyst
Primary FocusAnalyzing data to assess credit risk and predict defaultsEvaluating creditworthiness of individual or business applicants
Required SkillsData analysis, statistical modeling, risk assessmentFinancial analysis, credit evaluation, customer assessment
CertificationsRelevant certifications like CFA, credit risk certifications often preferredFinancial certifications like CFA, CPA may be beneficial
Work EnvironmentFinancial institutions, risk management teams, data-driven rolesBank branches, lending departments, credit departments

While both roles involve assessing credit, the Credit Risk Data Analyst primarily focuses on analyzing data to predict and manage credit risk, often working with large datasets and statistical models. The Credit Analyst evaluates individual credit applications and makes lending decisions. Both roles require financial knowledge and certifications, but their day-to-day tasks and focus areas differ.

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

To thrive as a Credit Risk Data Analyst, you need strong quantitative and analytical skills, a background in statistics or finance, and typically a bachelor’s degree in a related field. Proficiency in data analysis tools such as SQL, Python, R, and experience with risk modeling systems are highly valued, along with relevant certifications like FRM or CFA. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and conveying insights to stakeholders. These skills ensure accurate risk assessments, support sound decision-making, and help organizations manage financial exposure effectively.
More about Credit Risk Data Analyst jobs
What cities are hiring for Credit Risk Data Analyst jobs? Cities with the most Credit Risk Data Analyst job openings:
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Credit Risk Data Analyst jobs near you
Infographic showing various Credit Risk Data Analyst job openings in the United States as of June 2026, with employment types broken down into 69% Full Time, 5% Part Time, and 26% Contract. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $113,881 per year, or $54.8 per hour.

Business Analyst (Credit Risk)

VeeRteq Solutions Inc.

New York, NY • On-site

Contractor

Posted 26 days ago

Job description

Job Title: Business Analyst (Credit Risk) 

Location: New York City, NY

Domain: Credit Risk

Job Description:

·We are seeking an experienced Senior Business Analyst with specialized expertise in Credit Risk within the Investment Banking sector.

·The successful candidate will have a strong background in credit risk analysis, data spreading, and risk data management. Recent experience with AI and GenAI projects is highly desirable.

·This role involves working with diverse stakeholders, developing detailed requirements, and supporting testing activities to enhance credit risk frameworks and systems.

Key Responsibilities:

  • Lead the development of feature lists, detailed business requirements, and technical specifications for credit risk initiatives.
  • Collaborate with stakeholders to understand business needs and translate them into comprehensive documentation.
  • Support the testing lifecycle, including UAT and system testing, ensuring requirements are met.
  • Contribute to AI/GenAI-based projects to leverage emerging technologies in risk analysis and data management.
  • Work effectively with remote teams in India, ensuring clear communication and project alignment.
  • Present project progress, findings, and technical insights to senior management and risk teams.
  • Maintain compliance with regulatory standards and internal credit risk policies.

 

Qualifications:

  • 10+ years of experience in Credit Risk, with a focus on risk analysis, data spreading, and related topics within a large Investment Bank or risk data providers.
  • 5+ years of hands-on experience in credit risk processes and data management.
  • Proven experience in requirements gathering, development, and testing.
  • Recent experience working on AI/GenAI projects (minimum 1 year).
  • Strong verbal and written communication skills, with excellent presentation capabilities.
  • Ability to coordinate with remote teams located in India.
  • CFA or FRM certification is preferred.

Skills & Competencies:

  • Extensive knowledge of credit risk analysis, regulatory standards, and risk management frameworks.
  • Strong analytical, problem-solving, and organizational skills.
  • Familiarity with risk data, credit spreads, and data-driven decision-making.
  • Experience with requirements management and testing methodologies.
  • Knowledge of AI and GenAI applications in financial risk analysis.
  • Proactive stakeholder management and cross-functional collaboration skills.