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

Application Architect (IT)

Hagerstown, MD ยท On-site +1

$70K - $140K/yr

Bachelor's degree in computer science, Information Technology, Engineering, Business, or a related ... Familiarity with AI governance, model risk considerations, responsible AI principles, data ...

Director, Manufacturing

Walkersville, MD ยท On-site

$180 - $240/hr

Requirements * Master's degree in engineering, Biotechnology, Life Sciences, Pharmaceutical ... Risk Mitigation * Facility Start-Up * Regulatory Compliance * Lean Manufacturing * Six Sigma * Data ...

Consulting Practice Lead

Gettysburg, PA ยท On-site

$100K - $150K/yr

D. Conducts risk assessments and reports identified risks to management. Provides recommendations ... Ability to use a personal credit card for occasional purchases on behalf of the organization.

D. Conducts risk assessments and reports identified risks to management. Provides recommendations ... Ability to use a personal credit card for occasional purchases on behalf of the organization.

Consulting Practice Lead

Gettysburg, PA ยท On-site

$100K - $150K/yr

D. Conducts risk assessments and reports identified risks to management. Provides recommendations ... Ability to use a personal credit card for occasional purchases on behalf of the organization.

D. Conducts risk assessments and reports identified risks to management. Provides recommendations ... Ability to use a personal credit card for occasional purchases on behalf of the organization.

Showing results 41-60

Credit Risk Data Science information

See Waynesboro, PA salary details

$35.4K

$109.1K

$189.1K

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 Waynesboro, PA is $109,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $134,600.00 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 Waynesboro, PA? For Credit Risk Data Science jobs in Waynesboro, PA, the most frequently searched job titles are:
What cities near Waynesboro, PA are hiring for Credit Risk Data Science jobs? Cities near Waynesboro, PA with the most Credit Risk Data Science job openings:

Application Architect (IT)

Huntington

Hagerstown, MD โ€ข On-site, Remote

$70K - $140K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 20 days ago


Job description

Description

Role: Application Architect โ€“ Commercial Loan Servicing

We are seeking a seasoned Application Architect to drive the architecture and strategy for the commercial loan servicing platform. This role focuses on designing scalable, secure solutions, ensuring reliable data flow across systems, and aligning with enterprise and regulatory needs.

The architect will collaborate with business and technology teams to define target architecture, guide modernization, and support integration. The role also ensures strong data governance, system performance, and alignment with downstream systems.

The ideal candidate should have strong technical expertise, banking domain knowledge, and the ability to drive architectural decisions that support business goals and compliance.

Key Responsibilities:

  • Design and maintain the application roadmap, including technology direction and modernization initiatives.
  • Develop solution approaches, architecture recommendations, and technical roadmaps.
  • Align application architecture with enterprise standards, security requirements, and business objectives.
  • Provide high-level estimates and assess solution complexity for new initiatives.
  • Guide teams on application design, integration patterns, API development, and best practices.
  • Lead architecture reviews and support key technical decisions.
  • Ensure solutions are scalable, reliable, maintainable, and aligned with organizational standards.
  • Communicate technical concepts effectively to business and technical stakeholders.
  • Create and maintain architecture diagrams, technical documentation, and system integration artifacts.
  • Document technical debt, risks, dependencies, and improvement opportunities.
  • Promote architecture standards and documentation best practices.
  • Mentor developers and technical team members.
  • Lead cross-functional discussions to resolve technical challenges and dependencies.
  • Partner with business, product, infrastructure, and vendor teams to deliver solutions.
  • Support planning, implementation, and continuous improvement efforts across applications.

Required Skills & Qualifications

  • Bachelorโ€™s degree in computer science, Information Technology, Engineering, Business, or a related field; equivalent experience may be considered.
  • Minimum 7 years of experience in solution architecture, technology strategy, IT transformation, or financial services technology leadership.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
    • Experience implementing architecture governance practices in regulated, agile, product-centric, or scaled delivery environments.
    • Strong understanding of standard architecture patterns such as distributed systems, APIs, integration patterns, data platforms, resiliency, modern application architecture, and responsible AI governance concepts.
    • Experience with SQL and application integration.

Preferred Experience

  • 10 years of experience preferred.
  • Experience in banking, financial services, lending, or another regulated technology environment.
  • Experience across business, application, data, infrastructure, security, cloud, and integration architecture domains.
  • Familiarity with AI governance, model risk considerations, responsible AI principles, data governance, privacy, explain ability, and control frameworks in regulated environments.


Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. Weโ€™re combining the best of both worlds:  in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range:

70,000.00 - 140,000.00 USD Annual

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. โ€ฏColleagues in this position are also eligible to participate in an applicable incentive compensation plan. โ€ฏIn addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). 

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters:  Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.