Associate Data Scientist

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

Data Science at Anza MI is a blend of statistical analysis, machine learning, software development, and risk management. The team uses a cloud-native technology stack to analyze mortgage-related data, train a suite of predictive models, and automate operational processes.

You will have the opportunity to develop across these skills dimensions through mentorship and your portfolio of work. You will conduct analyses and automate reporting processes, as well as contribute to the research and development of predictive models. You will work autonomously and in partnership with more senior members of the team.

What you'll do

Data and Statistical Analysis: Produce correct and informative analyses for key business decisions (e.g. Quarto, memos, Shiny).

Predictive Model Development: Assist in research for and maintenance of the team’s suite of predictive models.

Reporting and Automation: Smart design for reports and processes to save time and increase efficiency.

Team Collaboration: Work with the risk team and our internal partners.

Continuous Learning: Improve coding skills as well as knowledge of our market and business (mortgage and housing finance).

Qualifications

Recent graduates with Bachelor’s or Master’s degree in Data Science, Economics, Statistics, Computer Science, Mathematics, or related fields.

Minimum skills

• Proficiency in Python and/or R.
• SQL skills.
• A solid understanding of probability and statistics, data fluency and visualization.
• Experience with predictive modeling/machine learning, git, and finance knowledge are a plus.
• Analytical mindset.
• Strong problem-solving skills.
• Excellent communication and teamwork skills are essential.

Job Type: Full-time

Pay: $80,000.00 - $95,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Health savings account
• Paid time off
• Parental leave
• Vision insurance

Schedule:

• Monday to Friday

Work Location: In person

Salary : $80,000 - $95,000