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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 · 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 ...

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 Jul 9, 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:
What states have the most Credit Risk Data Analyst jobs? States with the most job openings for Credit Risk Data Analyst jobs include:
What job categories do people searching Credit Risk Data Analyst jobs look for? The top searched job categories for Credit Risk Data Analyst jobs are:
Credit Risk Data Analyst jobs near you
Infographic showing various Credit Risk Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $113,881 per year, or $54.8 per hour.

Credit Risk Management - Risk Analytics Data and Reporting Team AVP

Bank of China Limited, New York Branch

Manhattan, NY

$65K - $150K/yr

Full-time

Re-posted 21 days ago

Job description

Established in 1912, Bank of China is one of the largest banks in the world, with over $3 trillion in assets and a footprint that spans more than 60 countries and regions. Our long-term outlook, institutional weight and global breadth provide our clients with a stable and reliable financial partner, whether in Corporate or Personal Banking or our Trade Services, Commodities, Financial Institutions and Global Markets lines of business.


The position will conduct varies of credit risk management risk data related duties. The position focuses on the data analytics and risk reporting. 


Credit Risk Data Control and Analysis

  • Assist to develop automated solutions to support business processes and report procedures.
  • Build up applications or scripts for implementing automation functionalities.
  • Database design for information storage purposes in both relationship and non-relationship infrastructures.
  • Workflow and data pipeline design and development for meeting risk related reporting requirements.
  • Develop data visualizations and dashboards to support the business intelligence progress.
  • Communicate with appropriate stakeholders to ensure the data quality problems are identified, documented, and mitigated.
  • Support process improvement, including workflow design, documentation, data security control, and identifying efficiency opportunities.
  • Collaborate with credit officers, credit administration, data governance, IT, and business unit representatives to provide data analysis and governance ensure new and emerging data required for portfolio analysis is on-boarded into credit risk systems.
  • Drive the automation of report and dashboard generation in a manner that drives consistency, accuracy and repeatability in credit risk reporting.

Credit Risk Reporting:

  • Periodic reporting on the loan portfolio. This includes report generation in a wide variety of formats including but not limited to Clicksense dashboards, Microsoft Excel report, PowerPoint presentations on a periodic as well as ad-hoc basis.
  • Prepare portfolio report and analysis including but not limited to Key Risk Indicators, exposure, credit rating, concentration and exception management.
  • Integrate and utilize data from a variety of sources in an efficient and accurate manner to drive excellence in risk reporting.
  • Utilize knowledge of -risk concepts to identify inconsistencies in the reports they generate.

Credit Risk Data Support:

  • Assist risk management in the design and implementation of risk reporting across a variety of media.
  • Supply data to support the credit risk management, including but not limited to asset quality, change of portfolio composition, concentration, rating migration and changes of loan provisions.

  • Bachelor's degree in Computer Science /Statistics/Mathematics/Economics required, MBA and Master's preferred.
  • Minimum 4 years of working experience in credit risk management, data analysis, and software development required.
  • Experience in at least one supportive programing language (Python, JavaScript, TypeScript, HTML, CSS, VBA and etc.) required.
  • Demonstrate proficiency in at least one core programing language (JAVA, C, C++).
  • Demonstrate proficiency in one SQL language (MSSQL, MYSQL, SQLITE, and etc.).

USD $65,000.00 - USD $150,000.00 /Yr.

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