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Credit Risk Developer Jobs in North Carolina (NOW HIRING)

NC SECU

Model Risk Analyst

Raleigh, NC ยท Hybrid

If you are motivated and believe in the credit union philosophy of "People Helping People," join ... Advanced programming skills in a statistical programming language, such as SAS, R, or Python.

Truist

Sheffield Risk Manager

Winston Salem, NC ยท On-site

Provide support to the credit administration area and loan processing department. ESSENTIAL DUTIES ... Engage in programming requirement development. Work closely with TRUIST analytics and scorecard ...

NC SECU

Model Risk Governance Manager

Raleigh, NC ยท Hybrid

If you are motivated and believe in the credit union philosophy of "People Helping People," join ... Programming skills in a statistical programming language, such as SAS, R, or Python. Ability to ...

ACI Infotech

Insight Senior Java Developer

Raleigh, NC ยท On-site

$50.50 - $64.50/hr

Insight Senior Java Developer Job Location: NYC/NY and Raleigh, NC Duarion: 12 + Months Key Skills ... Credit Risk System. Over 15,000 users from Front to Back Office use INSIGHT for Exposure ...

Wayflyer

Credit Analyst, New Verticals

Charlotte, NC ยท On-site

... high-risk positions * Work cross-functionally with product, data, engineering and commercial teams on high-impact projects that shape how we underwrite, fund and support businesses globally What ...

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Credit Risk Developer information

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

AspectCredit Risk DeveloperCredit Analyst
Required CredentialsBachelor's in Finance, Economics, or related field; often some programming knowledgeBachelor's in Finance, Economics, or related field; strong analytical skills
Work EnvironmentDevelops risk models, works with data and software toolsAnalyzes credit data, assesses borrower risk, prepares reports
Employer & Industry UsageFinancial institutions, banks, credit agenciesBanks, lending institutions, credit bureaus

While both roles focus on credit, the Credit Risk Developer primarily builds and maintains risk models using programming and data analysis, whereas the Credit Analyst evaluates individual creditworthiness and prepares risk assessments. Both roles are essential in credit decision processes but differ in technical focus and daily tasks.

What are Credit Risk Developers?

Credit Risk Developers are specialized software developers who design, build, and maintain systems that assess and manage financial risk for lending institutions or investment firms. They create algorithms and tools that analyze credit data, model potential losses, and ensure compliance with regulatory requirements. Their work supports decision-making processes related to lending, underwriting, and portfolio management. Typically, they collaborate closely with risk analysts, data scientists, and financial professionals to develop solutions that improve risk assessment accuracy and efficiency.

How does a Credit Risk Developer typically collaborate with risk analysts and business stakeholders?

A Credit Risk Developer often works closely with risk analysts to understand credit risk models and translate their requirements into robust software solutions. Regular meetings with business stakeholders are common to gather feedback, ensure alignment with regulatory standards, and adapt to changing business needs. This role requires strong communication skills to bridge the gap between technical and non-technical teams, ensuring that risk assessment tools are both accurate and user-friendly.

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

To thrive as a Credit Risk Developer, you need strong programming skills (such as Python, Java, or C++), a solid background in mathematics or finance, and experience with credit risk modeling. Familiarity with risk management systems, statistical analysis tools, and relevant certifications (like FRM or CFA) is often required. Exceptional problem-solving abilities, collaboration, and clear communication set outstanding candidates apart. These skills ensure accurate development and maintenance of credit risk models, enabling effective risk mitigation and regulatory compliance in financial institutions.
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