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Credit Risk Developer Jobs in Wilmington, NC (NOW HIRING)

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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.
What are popular job titles related to Credit Risk Developer jobs in Wilmington, NC? For Credit Risk Developer jobs in Wilmington, NC, the most frequently searched job titles are:
What cities near Wilmington, NC are hiring for Credit Risk Developer jobs? Cities near Wilmington, NC with the most Credit Risk Developer job openings:
Credit Risk Developer jobs near you

ML Data Engineer - Mortgage Credit Risk

Anza Mortgage Insurance Corporation

Wilmington, NC • On-site

$106K - $128K/yr

Full-time

Posted 28 days ago

Job description

Anza MI is a fintech startup using technology and analytics to drive growth & innovation within the US mortgage market.
About the role
As a ML Data Engineer embedded in Anza MI's Data Science practice, you will be a key enabler of our efforts to automate key business processes. The team uses a cloud-native technology stack to analyze mortgage-related data, train a suite of predictive models, and automate operational processes. Your primary responsibility will be to use document processing solutions to automate and streamline our Quality Control and Independent Validation operations.
You will have the opportunity to develop across these skills dimensions through mentorship and your portfolio of work. In addition to working within the Data Science function, you will also be responsible for learning and adhering to the engineering best practices established by the wider Technology organization to ensure alignment and consistency. A ML Data Engineer will work autonomously and in partnership with more senior members of the team as well as work closely with business partners.
What you'll do
  • Data Pipeline and Integration: Implement and maintain scalable and reliable ETL/ELT data pipelines to support analytics and modeling workflows.
  • Infrastructure and Tools: Build and maintain critical data infrastructure on Databricks.
  • Document Processing: Help build a greenfield automated system that uses AI/ML to extract and analyze data from large mortgage document packets.
  • Team Collaboration: Work with the Senior Data Engineer, facilitate the Data Science team's goals, and follow engineering practices of the Technology team.
  • Continuous Learning: Improve engineering skills as well as knowledge of our market and business (mortgage and housing finance).

Qualifications
Minimum Education
  • Bachelor's degree in computer science, Engineering, Data Science, or related fields.

Minimum Years of Experience
  • 0 to 2 years

Minimum Skills
  • Proficiency in Python and SQL, a solid understanding of cloud platforms (e.g. AWS, Azure), orchestration tools (e.g. Airflow, dbt) and data modeling.

Preferred Education
  • Master's degree in computer science, engineering, data science, or related fields.

Preferred Years of Experience
  • 1 to 2 Years

Preferred Skills
  • Proficiency in Apache Spark, software engineering and CI/CD practices. Experience with data analysis in a business setting.

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