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

Fraud Risk Analytics Manager

Pittsburgh, PA ยท Hybrid

$106K - $130K/yr

Description We are seeking an experienced Senior Data Scientist to lead fraud risk strategy optimization and entitylevel fraud state estimation across the enterprise. This role is critical to ...

Fraud Risk Analytics Manager

Pittsburgh, PA ยท Hybrid

$106K - $130K/yr

Description We are seeking an experienced Senior Data Scientist to lead fraud risk strategy optimization and entitylevel fraud state estimation across the enterprise. This role is critical to ...

Fraud Risk Analytics Manager

Pittsburgh, PA ยท Hybrid

$106K - $130K/yr

Description We are seeking an experienced Senior Data Scientist to lead fraud risk strategy optimization and entitylevel fraud state estimation across the enterprise. This role is critical to ...

Fraud Risk Analytics Manager

Pittsburgh, PA ยท Hybrid

$106K - $130K/yr

Description We are seeking an experienced Senior Data Scientist to lead fraud risk strategy optimization and entitylevel fraud state estimation across the enterprise. This role is critical to ...

Responsible to maintain loss ratios, accurately assess risk and assign the appropriate risk rating ... Engage with Credit Strategy to leverage portfolio data and industry/market trends to provide ...

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Showing results 21-40

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 Aug 9, 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.

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.

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.
What are popular job titles related to Credit Risk Data Science jobs in Pittsburgh, PA? For Credit Risk Data Science jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Pittsburgh, PA look for? The top searched job categories for Credit Risk Data Science jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Credit Risk Data Science jobs? Cities near Pittsburgh, PA with the most Credit Risk Data Science job openings:
Infographic showing various Credit Risk Data Science job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $110,558 per year, or $53.2 per hour.

Product Implementation & Business Analysis Manager

Stbancorp

Plum, PA โ€ข On-site

Full-time

Posted 8 days ago


Job description

Location:

800 Philadelphia Street

Indiana, Pa 15701

Or:

2 North Church Street

West Chester, PA 19380

Or:

491 North Cleveland-Massillon Road

Akron, OH 44333

Or:

2032 Front Street

Cuyahoga Falls, OH 44221

Or:

7660 Saltsburg Rd

Pittsburgh, PA 15239

Hours:

Monday - Friday 8AM-5PM

(Additional hours as necessary to meet the objectives of the department)

Function:

Responsible for the implementation, assessment, and configuration of credit related systems in order to support the business line technical and business analysis needs, research and assess business line process re-engineering opportunities and plan to implement configurations and workflows to solve complex problems and streamline workflows of diverse scope. Create meaning for reports to support Credit Risk Management.

Duties and Responsibilities:

  • Work closely with senior management to include CCO, CFO, CRO, CCBO etc. for design, implementation, and management to create data mining, forecasting and trending models and other reporting mechanisms for measuring and monitoring the bank's credit risk data needs.

  • Work closely with senior management to include CCO, CFO, CRO, CCBO, etc. to assess business process re-engineering opportunities to include analysis and design of workflows and business processes within Credit Admin to improve efficiencies, customer service and cut operational costs. Evaluates business line needs and develop configurations and workflows that support that business process.

  • Provide support for independent business analysis and credit related projects often associated with the research, development and analytics output advanced industry and portfolio analytics, while providing division support for credit related large scale projects managed by the PMO and Credit Administration.

  • Provide support with the analysis, development, and ongoing support of the bank's data analytics and reporting needs; assists in analyzing data sets to draw business insights and communicates results to users within the organization to include business lines, middle and executive management. Data integrity must also be maintained, specifically for outputs that impact financial reporting.

  • Responsible to serve the Credit Admin Business Line as a Project Manager for smaller scale Credit related projects and/or a work stream member for larger managed projects following the department's project methodology and documentation standards and change management requirements. Obtain continued project management guidance from the PMO and Credit Systems Administration Manager as a certified Project Manager.

  • Understand policies and processes in Credit Administration to research Credit Risk Management fundamentals and industry best practices to generate management information reports for all levels of management and benchmark findings against appropriate industry resources as well as assess and make recommendations for best practices with associated processes.

  • Aid in scoping projects and implementations. Define and execute on delivery and implementation project plans and/or developing test plans. Tests and troubleshoots for system setups and final system setups. Provides training and end user support during the implementation process.

  • Develop, document, and deliver data analysis and reporting for Credit Systems including, but not limited to, nCino, Salesforce and/or other Credit Systems. Data delivery may be in the form of reports, charts, graphs, or tables.

  • Provide comprehensive operational, analytical, and technical support for reporting and data analysis during projects, system implementations, and ongoing support post-go live.

  • Transfer knowledge and workflow process to Systems Administrators or end users and assist in their training for transition from implementation to post Go - Live Support.

  • Ensure the appropriate validation and controls are used to ensure that data integrity is maintained. Ensure data integrity through testing and validation for data completeness and accuracy as associated with business line process key internal controls for SOX related Credit Systems. The data import/export files also meet the requirements and considered an End User Computing Tool, therefore, must maintain compliance with SOX Entity level control #29 (EUCT) End User Computing Tool.

  • Ensure all managed projects are properly approved and documented as they progress and follow the department's project methodology and documentation standards, change management requirements and risk assessments as outlined in the department procedures. Guide and adhere to all associated corporate policies.

  • Obtains and maintains a strong working knowledge of SOX and GLBA compliance and regulatory requirements necessary to Credit (i.e. corporate policies, GAAP, Regulation O, Excess of Supervisory Limits, etc.) through research, educational opportunities, and the administration of the systems.

  • Responsible for implementing system/software changes, post go live. Test system/software changes to validate changes, working in conjunction with system users for assistance. Create and maintain documentation for system/software change management to specified audit requirements.

  • Create reports and/or dashboards as needed using nCino, Salesforce or advanced analytical software programs, including BIC/Webi, Excel, Access, Monarch and other specialized Credit System Reporting Tools.

  • Responsible to interface with internal audit, external auditing consultants, as well as regulatory agencies concerning the software being implemented. Acts as a subject matter expert for nCino and/or Salesforce or other Credit related systems during walkthroughs, annual SOX reviews, and audit meetings, able to provide appropriate and up to date documentation as requested.

  • Participate and attend onsite User Groups / Conferences/ Ongoing Training Opportunities for Credit Systems

  • Maintain certifications, as applicable, associated to nCino, Salesforce, technology or Credit Industry and continues to expand knowledge through ongoing educational opportunities.

  • Exhibit advanced writing, documentation, and presentation skills.

  • Maintains a good working relationship with all S&T employees and adheres to S&T's culture. Demonstrates strong interpersonal skills with the ability to work independently, as well as motivated to work as a team player to contribute to the success of the department and in turn, the organization.

  • Performs additional duties as assigned.

Education:

Requires a four-year college degree or equivalent. Major or area of specialization: Information Systems, Finance or Business. MBA helpful

Experience:

Requires five to ten years of general business experience. Requires five years to ten years specialized experience to include merger and acquisition experience and experience with Salesforce. nCino implementation experience preferred. Expert usage of Business Object (BIC Business Intelligence Center), data mining and reporting software or equivalent technical or data analysis software is required. Credit Administration experience.

Physical Demands:

Operates a keypad device: 70% of the day. Requires the use of manual dexterity skills for typing and data entry up to 40% of the business day. Specific vision requirements include close vision of 18"-20" for computer work. Reasonable accommodations

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

Salary Range:

$65,000.00 - $161,700.00