Actuarial Manager

GM Financial • Fort Worth, TX

4d • $115,000 - $213,000 • Remote

About The Position

GM Financial is expanding its Protection/Insurance Products into a full captive platform. The team brings branded General Motors F&I products to market and works with dealer partners to improve F&I department performance. The Actuarial Manager joins a growing actuarial team that develops competitive products and business insights. The role applies actuarial, statistical, mathematical, financial, and business expertise to manage risk and model the financial impact of uncertain future events, including insurance pricing, reserve estimates, and trend forecasts. It also investigates and transforms data to produce actionable insights and inform actuarial models.

The Actuarial Manager develops and validates analytical, predictive, and prescriptive solutions; evaluates data adequacy and reasonableness; and handles complex assignments with minimal guidance. The role collaborates across finance, accounting, engineering, platform teams, R&D, IT, and other functions, while coaching, mentoring, and leading team members in the research, development, implementation, and application of actuarial models and methods.

Requirements

• Bachelor’s degree in Mathematics, Actuarial Science, Data Science, Statistics, Computer Science, or another quantitative field.
• 6–8 years of experience in actuarial ratemaking and reserving, statistics, data science, and/or related quantitative work.
• At least 2 years of experience in a leadership capacity.
• Mastery of actuarial principles for ratemaking, reserving, and other actuarial analyses, including applying them to ad hoc and hypothetical business problems.
• Strong experience developing analytical solutions using R, Python, or similar tools, such as reserving software.
• Mastery of data visualization techniques using code-based and GUI-based modern visualization tools.
• Experience querying, combining, and transforming large, complex data using SQL, Python, R, or similar tools.
• Experience applying advanced probability and statistics methods, statistical modeling, data mining, machine learning, or deep learning to business problems.
• Strong organizational and project management skills to complete assignments on time and monitor processes across a team or department.
• Strong decision-making and critical-thinking skills.
• Strong oral and written communication skills, including active listening.
• Ability to make effective presentations and recommendations across departments and to leadership.
• Ability to collaborate with and influence multidisciplinary groups to achieve business outcomes.

Nice To Haves

• Working knowledge of reserving software such as ResQ or Arius.

Responsibilities

• Use advanced methods and tools such as SQL, Python, and R to query, calculate, transform, and manipulate large, complex data sets.
• Identify problems and assess their impact across large data sets, using data mining, predictive modeling, simulation, and visualization to improve insight and internal performance.
• Develop analytical solutions to address hypothetical business needs using appropriate models and methods.
• Perform exploratory data analysis to verify data adequacy and conduct reasonableness checks.
• Design, develop, and validate predictive and prescriptive solutions with minimal guidance to inform decisions and recommendations.
• Complete advanced ad hoc assignments with minimal guidance and take reasonable measures to ensure accuracy, appropriateness, and completeness.
• Collaborate with finance, accounting, engineering, platform teams, R&D, IT, and other functions as required.
• Coach, mentor, and lead team members in researching, developing, implementing, and applying innovative actuarial models and methods to solve large-scope, complex business problems.

Benefits

• 401(k) matching.
• Bonding leave for new parents: 12 weeks, 100% paid.
• Tuition assistance.
• Training.
• GM employee auto discount.
• Community service pay.
• Nine company holidays.
• Performance-based incentive plan eligibility.
• Health benefits available to full-time employees on the first day of employment.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager