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.
Requirements
- Some exposure to R, Python, and/or SQL.
- Exposure to BI tools and coding frameworks is a plus (e.g. streamlit, Shiny, ggplot, etc).
Responsibilities
- 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).
Other
- Education: Recent graduates with Bachelor’s in relevant field (Data Analytics, Computer Science, Economics, Finance, etc) or equivalent experience.
- 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.
