Actuarial Science Intern

Open Lending

7d • Hybrid

About The Position

Open Lending helps financial institutions make more informed lending decisions through machine learning, predictive analytics, and risk-based pricing solutions. Our actuarial team sits at the intersection of data science, product strategy, and portfolio performance, helping drive decisions that impact millions of dollars in lending activity. We are seeking a curious and analytical Actuarial Intern to join our actuarial team. This internship offers a unique opportunity to work at the intersection of actuarial science, predictive analytics, and financial technology. Unlike many traditional actuarial internships, you will gain hands-on experience with machine learning-driven products, real-world portfolio performance, and production model monitoring. In this role, you will work with real credit, vehicle, performance, and claims data using a modern analytics platform to help evaluate model performance, understand portfolio outcomes, and identify opportunities to improve products and business results. You will collaborate with actuaries, data scientists, and business leaders to investigate meaningful business questions and translate data into actionable insights. Throughout the internship, you will receive dedicated one-on-one mentorship and own a meaningful project that contributes to ongoing business initiatives. By the end of the program, you will have developed practical experience in analytics, model performance monitoring, and data-driven decision-making, while gaining a deeper understanding of how actuarial work supports product strategy and organizational growth.

Requirements

• Current enrollment in a bachelor's degree program in Actuarial Science, Data Science, Statistics, Mathematics, Finance, Business Analytics, Economics, or a related field.
• Curiosity, ownership, attention to detail, and the ability to learn quickly in a fast-paced environment.
• Strong written and verbal communication skills and a willingness to ask good questions.

Nice To Haves

• Completion of or active preparation for an actuarial exam is preferred.
• Experience with programming, SQL, Python, R, Databricks, dashboards, or data visualization tools is a plus.

Responsibilities

• Build reports and dashboards that monitor model impact, portfolio performance, and key business metrics.
• Monitor model health using metrics such as drift, population stability index (PSI), calibration, and other performance indicators through MLflow and related analytics tools.
• Clean, join, and explore data to explain patterns and identify emerging risk or product opportunities.
• Partner with actuarial, data science, and product teams to investigate business questions and support strategic initiatives.
• Present findings and recommendations to technical and business stakeholders.

Benefits

• Experience working with real credit, performance, vehicle, and claims data.
• Exposure to modern analytics workflows, including Databricks, Power BI, SQL, Python, and AI development tools.
• 1:1 mentorship from actuarial and data science leaders on how to frame questions, structure analyses, and communicate recommendations.
• A practical view into how pricing models are monitored and improved in a production environment.
• Meaningful project work that a strong candidate can discuss with confidence in future actuarial, data science, or product interviews.

What This Job Offers

• Career Level: Intern