Anza Mortgage Insurance Corporation is empowering homeownership through credit risk protection.

Our Mission

Our mission is to empower homeownership by mitigating credit risk through mortgage insurance. We strive to leverage technology and operational excellence to deliver exceptional service to our lender and servicer partners, offer reliable and secure capital support for our insureds, generate leading returns for our shareholders, and foster a fulfilling, rewarding environment for our team members.

Technology Forward

We differentiate ourselves by designing, architecting, and developing our operating systems in-house. This unique approach creates a platform tailored to the needs of today's housing market. It positions us to achieve unparalleled processing efficiency and adaptability to changing industry standards and customer demands. Fundamentally, we are a process optimization company that harnesses technology to revolutionize the mortgage insurance experience and fulfill our mission.

Customer Centric

We dedicate ourselves to provide competitive pricing tailored to risk profiles. Our commitment to our partners goes beyond pricing and product offerings. We prioritize a customer-centric approach focused on meeting customer needs and enhancing their experience. This approach is underpinned by transparency throughout the process and prompt issue resolution.

Risk Management Excellence

Risk Management is our foundation. Our risk management framework uses advanced technology, innovative strategies, and modern modeling techniques to manage risks ranging from credit risk to information security risk. Our customers and partners can rely on us to handle their information with the utmost care and responsibility. Our dedication to risk management is designed to reassure our partners about our stability and reliability.

About the role

• As a Data Engineer embedded in Anza MI’s Data Science practice, you will be a key enabler of our data science initiatives. 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 develop and maintain robust data pipelines and collaborate with data scientists to operationalize predictive models, optimizing their deployment, scalability, and performance.
• 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 Data Engineer will work autonomously and in partnership with more senior members of the team.

What you'll do

• Data Pipeline and Integration: Implement and maintain scalable and reliable ETL/ELT data pipelines to support analytics and modeling workflows.
• Predictive Model Deployment: Collaborate with data scientists to operationalize models using ML Ops practices.
• Infrastructure and Tools: Build and maintain data infrastructure, with focus on analytical databases like Snowflake.
• Team Collaboration: Work with and facilitate the data science team and follow engineering practices of the Technology team.
• Continuous Learning: Improve skills as well as knowledge of our market and business (mortgage and housing finance).

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related fields.
• Master’s degree in Computer Science, Engineering, Data Science, or related fields.
• Minimum of 3-5 years experience.
• Minimum skills
• • Proficiency in Python and SQL.
  • A solid understanding of
  • • Cloud platforms (e.g. AWS, Azure).
    • Orchestration tools (e.g. Airflow, dbt).
    • ML Ops deployment tools (e.g. Docker).
• Preferred skills
• • Experience with predictive modeling/machine learning in a business setting.