Sr Actuarial Analyst

About the role

In this role, you will leverage advanced actuarial techniques, predictive modeling, and data analytics to solve complex business challenges and support strategic decision-making. You'll collaborate with cross-functional teams to develop analytical solutions, evaluate reserves, mentor junior analysts, and drive business performance through data-driven insights and innovation.

Responsibilities

• Applies actuarial models and methods of moderate to high complexity on an ad-hoc basis to solve business problems.
• Serves as subject matter expert for defined procedures of moderate to high complexity.
• Supports implementation and documentation of new and innovative advanced methods and models.
• Writes code of moderate to high complexity using SQL, Python, R or similar to query, calculate, transform, combine and visualize data.
• Performs EDA to verify adequacy of data for task and performs reasonability checks.
• Supports the design, development and validation of predictive and prescriptive solutions with appropriate guidance to inform decisions and make recommendations.
• Pursues problem identification and impact across large data sets, leveraging statistical and visualization techniques to further enhance insight and internal performance optimization.
• Develops and builds analytical solutions to solve ad-hoc business problems based on existing requirements, models, and methods.
• Performs ad-hoc assignments with minimal guidance required, taking reasonable measures to ensure accuracy, appropriateness, and completeness.
• Mentors and trains junior analysts.
• May lead team projects.
• Works with various functions, including finance, accounting, engineering, platform teams, R&D, IT, and others as required.
• Performs periodic reserve reviews (e.g. UPR, IBNR, cancellation).

Requirements

• Bachelor’s Degree in Mathematics, Actuarial Science, Data Science, Statistics, Computer Science, or other quantitative field required.
• 3-5 years of experience with actuarial ratemaking and reserving, statistics, data science, and/or related quantitative experience required.
• Associate of the Casualty Actuarial Society; may be actively pursuing Fellowship required.

Skills

• Experienced with traditional methods for ratemaking, reserving, and other actuarial analyses.
• Experienced developing analytical solutions using R, Python or similar tools, such as reserving software.
• Mastery of data visualization techniques and modern interactive data visualization tools.
• Strong working knowledge of code-based data visualization.
• Experienced with querying, combining, and transforming complex data through SQL, Python, R or similar tools.
• Experience applying 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 to department, manager, and immediate executive.
• Effective collaboration with multi-disciplinary groups to achieve assigned objectives.
• Working knowledge of reserving software such as ResQ, Arius, etc.
• Working effectively within an AI enabled environment.

Benefits

• 401K matching
• Bonding leave for new parents (12 weeks, 100% paid)
• Tuition assistance
• Training
• GM employee auto discount
• Community service pay
• Nine company holidays

Pay

Competitive pay and bonus eligibility.

Schedule

Flexible hybrid work environment, 2 days a week in office.