Anza MI is a fintech startup using technology and analytics to drive growth & innovation within the US mortgage market.

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.

About the role

You will support our data-driven decision-making process by conducting data analytics and developing and maintaining business intelligence dashboards. This role is perfect for someone who is eager to learn about business concepts, develop expertise in data analysis and coding, and serve customers. You will primarily develop these reports using frameworks such as Shiny, Streamlit,  as well as programming languages such as SQL.

You will work closely with business stakeholders, data scientists, and data engineers to translate data into insights. You will be expected to follow good coding practices to ensure efficiency, automation, and maintainability in reporting workflows. This position provides excellent opportunities for professional growth, including paths towards data science or data engineering 

What you'll do

Key responsibilities include:

• Develop and maintain interactive dashboards and reports using tools like Shiny, Streamlit, and similar frameworks in e.g. R and/or python.
• Contributing to SQL-based data pipelines that directly feed into reports. 
• Conduct ad-hoc and standard data analytics to find new insights about the U.S. mortgage market, Anza's pricing and competitor actions to help drive business decisions
• Work with business stakeholders to understand reporting needs and translate them into clear visualizations. 
• Follow best practices in coding, version control, and automation, as well as documentation and data validation.
• Team Collaboration: Work with the data science team and business domain teams.
• Continuous Learning: Improve skills as well as knowledge of our market and business (mortgage and housing finance).

Qualifications

• Education: Recent graduates with Bachelor’s in relevant field (Data Analytics, Computer Science, Economics, Finance, etc) or equivalent experience. 
• Technical Skills: Some exposure to R, Python, and/or SQL. Exposure to BI tools and coding frameworks is a plus (e.g. streamlit, Shiny, ggplot, etc).
• Willingness to learn about business and customer needs in order to produce tailor-made reporting solutions.
• Professional Skills: Analytical mindset, strong problem-solving skills. Excellent communication and teamwork skills are essential. 
• Authorized to work in the United States.