Senior Actuarial Analyst - Hybrid, Data-Driven Impact

GM Financial; Town of Texas (WI); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

401K matching

Tuition assistance

GM employee auto discount

Company holidays

Job summary

GM Financial Protections is seeking a data-driven actuarial professional to leverage advanced modeling, SQL/Python/R, and data analytics to support strategic decision making. You will work with cross-functional teams including finance, IT, and R&D to drive performance improvements in F&I products.

The role requires 3–5 years of actuarial or quantitative experience, strong communication, and mentoring abilities within a hybrid work environment.

Qualifications

• Bachelor's degree in quantitative fields.
• 3–5 years actuarial ratemaking or data science experience.
• Experience with data visualization tools.

Responsibilities

• Apply actuarial models to solve business problems.
• Serve as SME for defined procedures.
• Support implementation of advanced methods and models.
• Write code (SQL/Python/R) to query and transform data.
• Perform EDA and data adequacy checks.
• Assist design and validation of predictive solutions.
• Identify problems across large datasets and provide insights.
• Develop analytical solutions from existing models and data.
• Execute ad-hoc tasks with accuracy and speed.
• Mentor junior analysts; potentially lead projects.
• Collaborate with finance, engineering, IT, and other teams.
• Conduct periodic reserve reviews (UPR/IBNR).

Skills

Actuarial modeling

R & Python

SQL querying

Data visualization

Communication

Team mentoring

Education

Bachelor's Degree in Mathematics/Statistics/CS

Tools

SQL

Python

R

Job description

GM Financial Protections is seeking a data-driven actuarial professional to leverage advanced modeling, SQL/Python/R, and data analytics to support strategic decision making. You will work with cross-functional teams including finance, IT, and R&D to drive performance improvements in F&I products.

The role requires 3–5 years of actuarial or quantitative experience, strong communication, and mentoring abilities within a hybrid work environment.