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Credit Risk Data Science Jobs in Pittsburgh, PA (NOW HIRING)

Position Title: Credit Risk Analyst Business Unit: Credit Reports to: Supervisor or Manager of ... Executes, analyzes, and maintains a modeling database including key data elements derived from the ...

Position Title: Credit Risk Analyst Business Unit: Credit Reports to: Supervisor or Manager of ... Executes, analyzes, and maintains a modeling database including key data elements derived from the ...

Strong data analysis and data presentation skills * Excellent and demonstrable communication, written, and presentation skills are required. For over 230 years, the people of BNY Mellon have been at ...

Specialist - Credit Risk At BNY, our culture allows us to run our company better and enables ... BNY assesses market data to ensure a competitive compensation package for our employees. This ...

Preferred Skills Analytical Thinking, Commercial Real Estate, Competitive Advantages, Consumer Lending, Credit Risk Management, Data Analytics, Decision Making, Financial Operations, Portfolio Risk ...

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Credit Risk Data Science information

See Pittsburgh, PA salary details

$35.9K

$110.6K

$191.7K

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

As of May 29, 2026, the average yearly pay for credit risk data science in Pittsburgh, PA is $110,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,100.00 and $136,400.00 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.
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Posted 17 days ago


Job description

Primary Office Location:626 Washington Place. Pittsburgh, Pennsylvania. 15219.Join our team. Make a difference - for us and for your future.

Position Title: Credit Risk Analyst

Business Unit: Credit

Reports to: Supervisor or Manager of Credit Risk

Position Overview:

This position is primarily responsible for assisting the Manager of Credit Risk and Reporting in the execution of one or more of the following: asset quality reporting, concentration analysis, the allowance for credit loss, credit monitoring, stress testing and ongoing monitoring of Bank wide data quality. The incumbent ensures accuracy and superior internal customer service.

Primary Responsibilities:

Prepares monthly and quarterly management and Board of Directors reports. Analyzes the credit risk trends within the various Bank portfolios and regions to identify potential regulatory, policy, or operational risk issues. Prepares written analysis to report to management.

Executes, analyzes, and maintains a modeling database including key data elements derived from the core system to support the timely and accurate completion of the Allowance for Credit Loss (ACL) reporting. This will also include preparing the ACL portion of the Dodd Frank Act Stress Test (DFAST) reporting.

Executes and analyzes monthly asset quality reporting for manager review. Ensures reports are timely, accurate and comply with regulatory guidance for quarterly reporting. Practices continuous process improvement in data aggregation and reporting.

Executes and analyzes monthly loan concentration reports. Performs specific concentration analysis that includes asset quality, trends, various segregations of the specific portfolio, macroeconomic commentary and market research layers.

Execute, analyze, and distribute daily, weekly, and monthly collateral monitoring reports and Commercial Credit compliance reports.

Analyzes on-going Credit Risk reporting features on a timely basis and implements process improvements as directed by management to correspond with changes in regulatory, policy, or operational risk issues.

Executes and analyzes data exception reporting, works with various departments to ensure accuracy of data used in Bank wide reporting. Sends corrective data maintenance on an as needed basis.

Performs other related duties and projects as assigned.

All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program.

F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions.

Minimum Level of Education Required to Perform the Primary Responsibilities of this Position:

BA or BS

Minimum # of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position:

0

Skills Required to Perform the Primary Responsibilities of this Position:

Excellent project management skills

Excellent communication skills, both written and verbal

Excellent organizational, analytical and interpersonal skills

Excellent customer service skills

Ability to use a personal computer and job-related software

MS Word - Basic Level

MS Excel - Intermediate Level

MS PowerPoint - Basic Level

Experience with business intelligence tools such as SAS, Python or MS Power BI

Licensures/Certifications Required to Perform the Primary Responsibilities of this Position:

N/A

Physical Requirements or Work Conditions Beyond Traditional Office Work:

N/A


Equal Employment Opportunity (EEO):

It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

FNB will not provide sponsorship for employment-based visas for this position; only candidates who are legally authorized to work in the U.S. will be considered.