Actuarial Manager

JOB DESCRIPTION

Why GM Financial Protections?

GM Financial is targeting significant growth as it transforms the Protection/Insurance Products into a full captive platform. Our team is responsible for bringing the branded General Motors F&I products to market and we work hands on with our dealer partners to improve performance in their F&I department.

At GM Financial, our team members define and shape our culture - an environment that welcomes new ideas, fosters integrity and creates a sense of community and belonging. Here we do more than work - we thrive.

Our Purpose: We pioneer the innovations that move and connect people to what matters.

RESPONSIBILITIES

About the role

GM Financial is targeting significant growth as it transforms the Protection/Insurance Products into a full captive platform. Our team is responsible for bringing the branded General Motors F&I products to market and we work hands on with our dealer partners to improve performance in their F&I department. In order to provide the most competitive products and business insights, we are building out our actuarial team. Do you enjoy being innovative and solving problems? We are looking for an Actuarial Manager to join the team. Actuaries combine statistics/mathematics, financial theory, industry and business insight to manage risk and model the financial impact of uncertain future events based on their likelihood. They develop insurance pricing, estimate reserves, and forecast trends. Actuaries investigate and transform data to derive actionable insights and inform actuarial models. They understand the nature of and put a value on risk.

In this role you will:

• Effectively coach, mentor, and lead team members in the research, development, implementation, and application of new and innovative actuarial models and methods to solve business problems of large scope and high complexity
• Employ advanced methods to query, calculate, transform, and manipulate large complex data using SQL, Python, R, or similar
• Perform EDA to verify adequacy of data for task and perform reasonability checks
• Design, develop, and validate predictive and prescriptive solutions with minimal guidance to inform decisions and make recommendations
• Pursue problem identification and impact across large data sets, leveraging data mining, predictive modeling, simulation, and visualization techniques to further enhance insight and internal performance optimization
• Develop and build analytical solutions to solve hypothetical business needs through application of appropriate models and methods
• Perform advanced ad-hoc assignments with minimal guidance, taking reasonable measures to ensure accuracy, appropriateness, and completeness
• Work with various functions, including finance, accounting, engineering, platform teams, R&D, IT, and others as required

• Mastery of actuarial principals for ratemaking, reserving, and other actuarial analyses with experience applying 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 both code-based and GUI-based modern data visualization tools
• Experience with querying, combining, and transforming big and complex data through SQL, Python, R or similar tools
• Experience applying multiple advanced methods of probability and statistics, statistical modeling, data mining, machine learning, or deep learning techniques to solve business problems
• High level organizational and project management skills in order to handle assignments in a timely manner and to monitor processes throughout a team or department
• Strong decision-making and critical thinking skills
• Strong oral and written communication, including active listening skills
• Ability to make effective presentations and recommendations across departments and leadership
• Effective collaboration and influencing of multi-disciplinary groups to promote and achieve business outcomes
• Working knowledge of reserving software such as ResQ, Arius, etc.

• Bachelor's Degree in Mathematics, Actuarial Science, Data Science, Statistics, Computer Science, or other quantitative field required
• 6-8 years of experience with actuarial ratemaking and reserving, statistics, data science, and/or related quantitative experience required
• 2+ years of experience in leadership capacity required